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Quotient space-based boundary condition for particle swarm optimization algorithm 基于商空间边界条件的粒子群优化算法
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.4018/jssci.2011010106
Yuhong Chi, F. Sun, Lang Jiang, Chunyang Yu, Chunli Chen
{"title":"Quotient space-based boundary condition for particle swarm optimization algorithm","authors":"Yuhong Chi, F. Sun, Lang Jiang, Chunyang Yu, Chunli Chen","doi":"10.4018/jssci.2011010106","DOIUrl":"https://doi.org/10.4018/jssci.2011010106","url":null,"abstract":"To control particles flying inside the limited search space and deal with the problem of slow search speed and premature convergence, this paper applies the theory of topology, and proposes a novel quotient space-based boundary condition by using the properties of quotient space and homeomorphism. In this new method, named QsaBC, Search space-zoomed factor and Attractor are introduced to enhance the performance of PSO according to analyzing the dynamic behavior and stability of particles. QsaBC proposed in this paper not only reduces the subjective interference and enforces the capability of global search, but also enhance the power of local search and escaping from an inferior local optimum. Four CEC'2008 benchmark functions are selected to evaluate the performance of QsaBC. Comparative experiments show that QsaBC is more effective to do with the boundary condition, furthermore, can get the satisfactory solution with fast convergence speed, easy calculation and good robustness than other experienced methods.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123486718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications 在工业应用中，二次神经单元是线性模型和神经网络之间的一个很好的折衷
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599677
I. Bukovský, N. Homma, L. Smetana, Ricardo Rodriguez Jorge, M. Mironovova, S. Vrána
{"title":"Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications","authors":"I. Bukovský, N. Homma, L. Smetana, Ricardo Rodriguez Jorge, M. Mironovova, S. Vrána","doi":"10.1109/COGINF.2010.5599677","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599677","url":null,"abstract":"The paper discusses the quadratic neural unit (QNU) and highlights its attractiveness for industrial applications such as for plant modeling, control, and time series prediction. Linear systems are still often preferred in industrial control applications for their solvable and single solution nature and for the clarity to the most application engineers. Artificial neural networks are powerful cognitive nonlinear tools, but their nonlinear strength is naturally repaid with the local minima problem, overfitting, and high demands for application-correct neural architecture and optimization technique that often require skilled users. The QNU is the important midpoint between linear systems and highly nonlinear neural networks because the QNU is relatively very strong in nonlinear approximation; however, its optimization and performance have fast and convex-like nature, and its mathematical structure and the derivation of the learning rules is very comprehensible and efficient for implementation.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124948971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 23
A novel Online Self-organizing Fuzzy Neural Network for function approximation 一种新的用于函数逼近的在线自组织模糊神经网络
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599680
Ning Wang, C. Qiu, Xiaobing Niu, Z. Xue
{"title":"A novel Online Self-organizing Fuzzy Neural Network for function approximation","authors":"Ning Wang, C. Qiu, Xiaobing Niu, Z. Xue","doi":"10.1109/COGINF.2010.5599680","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599680","url":null,"abstract":"In this paper, we propose a novel Online Self-constructing Fuzzy Neural Network (OSFNN) which extends the ellipsoidal basis function (EBF)-based fuzzy neural networks (FNNs) by permitting input variables to be modeled by dissymmetrical Gaussian functions (DGFs). Due to the flexibility and dissymmetry of left and right widths of the DGF, the partitioning made by DGFs in the input space is more flexible and more economical, and therefore results in a parsimonious FNN with high performance under the online learning algorithm. The geometric growing criteria and the error reduction ratio (ERR) method are used as growing and pruning strategies respectively to realize the structure learning algorithm which implements an optimal and compact network structure. The proposed OSFNN starts with no hidden neurons and does not need to partition the input space a priori. In addition, all the free parameters in premises and consequents are adjusted online based on the ε-completeness of fuzzy rules and the linear least square (LLS) approach, respectively. The performance of the proposed OSFNN paradigm is compared with other well-known algorithms like ANFIS, OLS, GDFNN, SOFNN and FAOS-PFNN, etc., on a benchmark problem in the field of function approximation. Simulation results demonstrate that the proposed OSFNN approach can facilitate a more powerful and more economical FNN with better performance of approximation and generalization.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124980977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using social cognitive optimization algorithm to solve nonlinear equations 利用社会认知优化算法求解非线性方程
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599742
Z. Cui, Xingjuan Cai
{"title":"Using social cognitive optimization algorithm to solve nonlinear equations","authors":"Z. Cui, Xingjuan Cai","doi":"10.1109/COGINF.2010.5599742","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599742","url":null,"abstract":"Finding feasible solution for a nonlinear equations is a very challenging problem and generally needs a high computational efforts. In this paper, a new swarm intelligent algorithm, social cognitive optimization algorithm (SCOA), is proposed to solve this problem. In SCOA, each individual simulates one natural person. All of them are communicated through cooperation and competition to increase social status. The winner with the highest status will be the final solution. Simulation results show this new algorithm can solve the problem significantly.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129047045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 33
Stability and maximum throughput analysis of cognitive MIMO radio 认知MIMO无线电的稳定性和最大吞吐量分析
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599760
Mingming Li, Dongxu Wang, Chong Li, Jiaru Lin, Zhiqiang He
{"title":"Stability and maximum throughput analysis of cognitive MIMO radio","authors":"Mingming Li, Dongxu Wang, Chong Li, Jiaru Lin, Zhiqiang He","doi":"10.1109/COGINF.2010.5599760","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599760","url":null,"abstract":"We present a cognitive MIMO wireless communication system with cognitive link and primary link using multiple transmission antennas. Gamma distribution function is used to obtain accurate approximation to signal-to-interference-and-noise ratio (SINR) of cognitive link, and new closed-form expressions of the outage probability are derived in two scenarios. Furthermore, how much influence of detection error will bring to stability of the cognitive interference channel is estimated. Based on the analysis, throughput and power allocation schemes of two different circumstances are studied. The proposed mathematical analysis is complemented by various performance evaluation results, which demonstrates the accuracy of the theoretical approach.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129196615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhance information acquired efficiency for wireless sensors networks via multi-bit decision fusion 通过多比特决策融合提高无线传感器网络信息获取效率
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599747
Wen-Tsai Sung, Yao-Chi Hsu, Kuan-Yu Chen
{"title":"Enhance information acquired efficiency for wireless sensors networks via multi-bit decision fusion","authors":"Wen-Tsai Sung, Yao-Chi Hsu, Kuan-Yu Chen","doi":"10.1109/COGINF.2010.5599747","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599747","url":null,"abstract":"This paper proposes an improving data fusion approach to enhance the efficient of data aggregation via Zigbee and embedded system. Distributed multi-sensor networks are an emerging technology that this study considers the problem of data fusion in wireless sensor network (WSNs) for event detection application. For such an application, maximizing accuracy and network lifetime are the two primary requirements in the design of WSNs. In our previous study, multi-sensors detecting signal process and embedded system have both established in our researches platform, thus, sensors of detecting measurements and signals which have stored in computers are transformed into brand-new system structure in SOC sensor chip of embedded system. In this paper, we improved an optimum one bit data fusion approach that has been proposed which is derived from an optimum likelihood ratio test via a star topology. According this multi-bit decision fusion approach, as a lot of nodes are used and combined with embedded system, efficiency of real-time transmission can be improved.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Keyphrase extraction based on semantic relatedness 基于语义相关性的关键词提取
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599721
Fei Xie, Xindong Wu, Xuegang Hu
{"title":"Keyphrase extraction based on semantic relatedness","authors":"Fei Xie, Xindong Wu, Xuegang Hu","doi":"10.1109/COGINF.2010.5599721","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599721","url":null,"abstract":"Keyphrase extraction is a fundamental research task in natural language processing and text mining. A limitation of previous keyphrase extraction methods based on semantic analysis is that the acquisition of the semantic features within phrases is restricted by the constructed thesaurus and language. An approach to the acquisition of the semantic features within phrases from a single document is proposed in this paper, which is used to extract document keyphrases. Semantic relatedness degrees between phrases are computed using word co-occurrence information in the document, and the document is represented as a relatedness graph. Keyphrases are extracted based on the semantic relatedness features acquired from the graph. Our experiments demonstrate that the proposed keyphrase extraction method always outperforms the baseline methods TFIDF and Kea. Furthermore, our approach is not domain-specific and the method generalizes well when it is trained on one domain (journal articles) and tested on another (news web pages).","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"391 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124529878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Production management and data processing system for the textile enterprise based on multi-Agent 基于多agent的纺织企业生产管理与数据处理系统
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599786
Jingfeng Shao, Jinfu Wang, Songtao Liu, Liping Yang
{"title":"Production management and data processing system for the textile enterprise based on multi-Agent","authors":"Jingfeng Shao, Jinfu Wang, Songtao Liu, Liping Yang","doi":"10.1109/COGINF.2010.5599786","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599786","url":null,"abstract":"To realize the network and informationization management of production data, and the quick reaction of decision analysis, as well as to build a information sharing platform for the textile enterprise, the real existing shortcoming of production management system was studied, and the actual requirements of the informationization construction of the textile enterprise were analyzed. First, according to actual requirements of the textile enterprise, a production management structure model based on multi-Agent is proposed by using the multi-Agent technology, relationship model, decision theory and expert system. Then, through comparing the existing information management system, the advantages of the system is also reflected, and the functional structure model of the system is optimized. Third, a flexible, dynamic, efficient collaboration management platform is designed, and a production management and decision system based on multi-Agent is developed. As verified by real application, production management and decision model based on multi-Agent strengthens the interactivity role both the user and the system, meets the requirements of the production management, intelligent decision and personalized service, furthermore, production management system based on multi-Agent realizes the heterogeneous integration among the different databases, and promotes the informationization development of production management of the textile enterprise.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122927402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Reinforcement learning for multi-agent patrol policy 多智能体巡逻策略的强化学习
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599681
Zhaohui Hu, Dongbin Zhao
{"title":"Reinforcement learning for multi-agent patrol policy","authors":"Zhaohui Hu, Dongbin Zhao","doi":"10.1109/COGINF.2010.5599681","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599681","url":null,"abstract":"This paper presents a reinforcement learning (RL) algorithm for multi-agent patrol tasks, which can be thought of as a dynamic programming problem with stochastic demands. We define the cover rate as the reward, the multi-agent physical positions including edges and nodes as the state, and the nodes adjacent to the agent as the action to model the patrol task. The modeling of this problem is totally different from other's work, which facilitates the communication and cooperation among these agents. Furthermore, we map the state from four dimensions to one dimension in order to improve the training efficiency and reduce the coding complexity. A deterministic Softmax algorithm is designed for comparison. We test both two algorithms in patrolling and rescuing scenarios. Results show the patrol cover rate with RL greatly outperforms Softmax about 15.38%, and the average rescue time for emergent pots is reduced by 20% with RL compared to Softmax.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122663212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Main retina information processing pathways modeling 主要视网膜信息处理通路建模
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599719
Wei Hui, Guan Xu-dong, Zuo Qing-song
{"title":"Main retina information processing pathways modeling","authors":"Wei Hui, Guan Xu-dong, Zuo Qing-song","doi":"10.1109/COGINF.2010.5599719","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599719","url":null,"abstract":"In many fields including digital image processing and artificial retina design, they always confront a balance issue among real-time, accuracy, computing load, power consumption and other factors. It is difficult to achieve an optimal balance among these conflicting requirements. However, human retina can balance these conflicting requirements very well. It can efficiently and economically accomplish almost all the visual tasks. This paper presents a bio-inspired model of the retina, not only to simulate various types of retina cells, but also to simulate complex structure of retina. The Model covers main information processing pathways of retina so that it is much closer to the real retina. In this paper, we did some researches on various characteristics of the retina via large-scale statistical experiments, and further analyzed the relationship between retina's structure and functions. The Model can be used in bionic chip design, physiological assumptions verification, image processing, and a variety of goals.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"66 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123237930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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