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Sixth International Conference on Intelligent Systems Design and Applications最新文献

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An Enhanced Hybrid Quadratic Particle Swarm Optimization 一种改进的混合二次粒子群优化算法
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253745
Tan Ying, Ya-Ping Yang, J. Zeng
{"title":"An Enhanced Hybrid Quadratic Particle Swarm Optimization","authors":"Tan Ying, Ya-Ping Yang, J. Zeng","doi":"10.1109/ISDA.2006.253745","DOIUrl":"https://doi.org/10.1109/ISDA.2006.253745","url":null,"abstract":"Particle swarm optimization (PSO) is swarm-based stochastic optimization originating from artificial life and evolutionary computation. The algorithm completes the optimization through following the personal best solution of each particle and the global best value of the whole swarm. This paper improved the standard PSO's evolution equation on the foundation of analyzing standard PSO's model and its mechanisms, then presents a quadratic PSO and gives a strategy of self-adapting quadratic PSO parameters through comparing quadratic PSO with PSO and analyzing the impact that the parameters have on the performance of algorithm. Further, this paper presents a hybrid particle optimization combined their advantages on the basis of comparing quadratic PSO with PSO. The simulation illustrates the quadratic PSO improves the performance of the PSO and the self-adapting parameters strategy is better than the fixed parameters, and the hybrid PSO outperformed both standard PSO and quadratic PSO, the experimental results show that the methods are correct and efficient","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124301819","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: 11
Design and Study of an Adaptive Double-mode Fuzzy Predictive Controller 自适应双模模糊预测控制器的设计与研究
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.132
Mingjian Huang, Hui Jin, X. Ze, Shichun Wang
{"title":"Design and Study of an Adaptive Double-mode Fuzzy Predictive Controller","authors":"Mingjian Huang, Hui Jin, X. Ze, Shichun Wang","doi":"10.1109/ISDA.2006.132","DOIUrl":"https://doi.org/10.1109/ISDA.2006.132","url":null,"abstract":"For the fuzzy-PID can't cope well with the variable plant including variable parameters and time-delay, an adaptive double-mode fuzzy predictive controller combined with fuzzy control, adaptive control and generalized predictive control is introduced in the paper. The simulations show that this method is feasible and can overcome the uncertain disturbance/noise efficiently. At the same time to reduce the calculation and save time, an improved algorithm adopting implicit algorithm is indicated","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125283733","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
Kernel based Non-linear Feature Extraction Methods for Speech Recognition 基于核的语音识别非线性特征提取方法
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253706
Hao Huang, Jie Zhu
{"title":"Kernel based Non-linear Feature Extraction Methods for Speech Recognition","authors":"Hao Huang, Jie Zhu","doi":"10.1109/ISDA.2006.253706","DOIUrl":"https://doi.org/10.1109/ISDA.2006.253706","url":null,"abstract":"In this paper, we report our recent investigation on the extension of heteroscedastic discriminant analysis and maximum likelihood linear transformation algorithms by taking advantage of the kernel method. The kernel-based heteroscedastic discriminant analysis and kernel-based maximum likelihood linear transformation are formulated. A set of preliminary experimental tests apply the above two techniques to full set digit vs. digit speech classification tasks and reduced sample set 10 isolated digits speech recognition. Comparisons with the existing linear and non-linear feature extraction algorithms such as linear discriminant analysis, kernel based linear discriminant analysis, heteroscedastic discriminant analysis and kernel-based heteroscedastic discriminant analysis are made. Discussions on the effectiveness of the proposed methods are also given","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126142671","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
A Novel Neural Network Model of Hysteresis Nonlinearities 一种新的迟滞非线性神经网络模型
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.72
Zhao Tong, Shulin Sui, Changhe Du
{"title":"A Novel Neural Network Model of Hysteresis Nonlinearities","authors":"Zhao Tong, Shulin Sui, Changhe Du","doi":"10.1109/ISDA.2006.72","DOIUrl":"https://doi.org/10.1109/ISDA.2006.72","url":null,"abstract":"A novel and simple modeling method of hysteresis nonlinearities is proposed. Through analyzing the principle of the classical Preisach model, we find some characteristics and rules of motion point, i.e. trajectory of output to input, and believe that hysteresis curve, with analytic geometry method, can be constructed. The hysteresis curves from the constructed models, wonderfully match with a class of simulation hysteresis model, which consist of many backlash models. Though the hysteresis model is only a special class, when its output is used as one of input signals of neural networks, the neural networks model can approximate other classes of hysteresis curve. Three examples, including one simulation data set and two measured experimentation data sets, are implemented. The results indicate that the proposed method is successful and simple","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126454972","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
A RBF Neural Network Algorithm for Blind Source Separation of Linear Mixing Signals 线性混合信号盲源分离的RBF神经网络算法
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.5
Y. Lin, Tusheng Lin
{"title":"A RBF Neural Network Algorithm for Blind Source Separation of Linear Mixing Signals","authors":"Y. Lin, Tusheng Lin","doi":"10.1109/ISDA.2006.5","DOIUrl":"https://doi.org/10.1109/ISDA.2006.5","url":null,"abstract":"This paper presents a radial basis function (RBF) neural network approach to blind source separation in linear mixture. After calculating center value vector and width value vector, weight value vector that is deduced by maximizing entropy (ME) of cost function is calculated in this RBF neural network. This cost function results in the independence of the outputs with desirable moments such that the original sources are separated properly. Simulation results show that the separation time is reduced and the separation effect is very good. Compared with ME of algorithm, the effect of this algorithm is better.","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129819610","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
Robot Path Planning Based on Artificial Potential Field Approach with Simulated Annealing 基于模拟退火人工势场法的机器人路径规划
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253908
Qidan Zhu, Yongjie Yan, Zhuoyi Xing
{"title":"Robot Path Planning Based on Artificial Potential Field Approach with Simulated Annealing","authors":"Qidan Zhu, Yongjie Yan, Zhuoyi Xing","doi":"10.1109/ISDA.2006.253908","DOIUrl":"https://doi.org/10.1109/ISDA.2006.253908","url":null,"abstract":"The artificial potential field (APF) approach provides a simple and effective motion planning method for practical purpose. However, artificial potential field approach has a major problem, which is that the robot is easy to be trapped at a local minimum before reaching its goal. The avoidance of local minimum has been an active research topic in path planning by potential field. In this paper, we introduce several methods to solve this problem, emphatically, introduce and evaluate the artificial potential field approach with simulated annealing (SA). As one of the powerful techniques for escaping local minimum, simulated annealing has been applied to local and global path planning","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129969737","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: 125
On Improved Parallel Immune Quantum Evolutionary Algorithm Based on Learning Mechanism 基于学习机制的改进并行免疫量子进化算法
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.209
Xiaoming You, Sheng Liu, D. Shuai
{"title":"On Improved Parallel Immune Quantum Evolutionary Algorithm Based on Learning Mechanism","authors":"Xiaoming You, Sheng Liu, D. Shuai","doi":"10.1109/ISDA.2006.209","DOIUrl":"https://doi.org/10.1109/ISDA.2006.209","url":null,"abstract":"A new multi-universe parallel immune quantum evolutionary algorithm based on learning mechanism (MPMQEA) is proposed, in the algorithm, all individuals are divided into some independent sub-colonies, called universes. Their topological structure is defined, each universe evolving independently uses the immune quantum evolutionary algorithm. Information among the universes is exchanged by adopting emigration based on the improved learning mechanism and quantum interaction simulating entanglement of quantum. It not only can maintain quite nicely the population diversity, but also can help to converge to the global optimal solution rapidly. The typical function tests show that MPMQEA has nice performances such as avoiding local optima, high precision solution, and quick convergence","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129723755","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: 6
New developments of the Z-EDM algorithm Z-EDM算法的新进展
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.204
Luís M. Silva, J. M. D. Sá, Luís A. Alexandre
{"title":"New developments of the Z-EDM algorithm","authors":"Luís M. Silva, J. M. D. Sá, Luís A. Alexandre","doi":"10.1109/ISDA.2006.204","DOIUrl":"https://doi.org/10.1109/ISDA.2006.204","url":null,"abstract":"In this paper we address some open questions on the recently proposed Zero-Error Density Maximization algorithm for MLP training. We propose a new version of the cost function that solves a training problem encountered in previous work and prove that the use of a nonparametric density estimator preserves the optimal solution. Some experiments are reported comparing this cost function to the usual mean-square error and cross entropy cost functions","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129488532","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
Anomaly Intrusion Detection Approach Using Hybrid MLP/CNN Neural Network 基于MLP/CNN神经网络的异常入侵检测方法
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253765
Yu Yao, Yang Wei, Fu-xiang Gao, Yao Yu
{"title":"Anomaly Intrusion Detection Approach Using Hybrid MLP/CNN Neural Network","authors":"Yu Yao, Yang Wei, Fu-xiang Gao, Yao Yu","doi":"10.1109/ISDA.2006.253765","DOIUrl":"https://doi.org/10.1109/ISDA.2006.253765","url":null,"abstract":"An anomaly intrusion detection approach based on hybrid MLP/CNN (multi-layer perceptron/chaotic neural network) neural network is proposed in this paper. Most anomaly detection approaches using MLP can detect novel real-time attacks, but still has high false alarm rates. Most attacks are composed of a series of anomaly events. These attacks are called time-delayed attacks, which current neural network IDSs (intrusion detection system) cannot identify efficiently. A hybrid MLP/CNN neural network is constructed in order to improve the detection rate of time-delayed attacks. While obtaining a similarly detection rate of real-time attacks as the MLP does, the proposed approach can detect time-delayed attacks efficiently with chaotic neuron. This approach also exhibits a lower false alarm rate when detects novel attacks. The simulation tests are conducted using DARPA 1998 dataset. The experimental results are presented and compared in ROC curves, which can demonstrate that the proposed approach performs exceptionally in terms of both detection rate and false alarm rate","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129562543","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: 43
A Semantic Modeling Approach for Medical Image Semantic Retrieval Using Hybrid Bayesian Networks 基于混合贝叶斯网络的医学图像语义检索语义建模方法
Sixth International Conference on Intelligent Systems Design and Applications Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253884
Chunyi Lin, Junxun Yin, Xue Gao, Jian-Yu Chen, Pei Qin
{"title":"A Semantic Modeling Approach for Medical Image Semantic Retrieval Using Hybrid Bayesian Networks","authors":"Chunyi Lin, Junxun Yin, Xue Gao, Jian-Yu Chen, Pei Qin","doi":"10.1109/ISDA.2006.253884","DOIUrl":"https://doi.org/10.1109/ISDA.2006.253884","url":null,"abstract":"A multi-level semantic modeling method, which integrates support vector machines (SVM) into hybrid Bayesian networks (HBN), is proposed in this paper. SVM discretizes the continuous variables of medical image features by classifying them into finite states as middle-level semantics. Based on the HBN, the semantic model for medical image semantic retrieval can be designed at multi-level semantics. To validate the method, a model is built to achieve automatic image annotation at the content level from a small set of astrocytona MRI (magnetic resonance imaging) samples. Multi-level annotation is a promising solution to enable medical image retrieval at different semantic levels. Experiment results show that this approach is very effective to enable multi-level interpretation of astrocytona MRI scan. It outperforms the Bayesian network-based model using k-nearest neighbor classifiers (K-NN). This study provides a novel way to bridge the gap between the high-level semantics and the low-level image features","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129899086","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: 18
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