2012 8th International Conference on Natural Computation最新文献_第7页

The continuous selective generalized traveling salesman problem: An efficient ant colony system 连续选择广义旅行商问题:一个有效蚁群系统

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234747

Mou Lian-Ming

引用次数: 3

Prediction of coal calorific value based on the RBF neural network optimized by genetic algorithm 基于遗传算法优化的RBF神经网络的煤热值预测

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234702

Yuan Jing, Min-fang Qi, Zhong-guang Fu

{"title":"Prediction of coal calorific value based on the RBF neural network optimized by genetic algorithm","authors":"Yuan Jing, Min-fang Qi, Zhong-guang Fu","doi":"10.1109/ICNC.2012.6234702","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234702","url":null,"abstract":"The calorific value of coal is an important factor for the economic operation of coal fired power plant. However calorific value is tremendous difference between the different coal, and even if coal is from the same mine. Restricted by the coal market, most of coal fired power plants can not burn the designed-coal by now in China. The properties of coal as received are changing so frequently that pulverized coal firing is always with the unexpected condition. Therefore, the researches on the on-line prediction of calorific value of coal has a profound significance for the economic operation of power plants. Aiming at the problem of uncertainty of calorific value of coal, a soft measurement model for calorific value of coal is proposed based on the RBF neural network. And combined with the thought of k-cross validation, the genetic algorithm constructed a fitness function to optimize the RBF network parameters. It is shown by an example that the optimized model is concise and accurate, with good training accuracy and generalization ability. The model could provide a good guidance for the calculation of the calorific value of coal and optimization operation of coal fired power plants.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122770048","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: 4

Study of fault diagnosis based on SVM for turbine generator unit 基于支持向量机的汽轮发电机组故障诊断研究

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234698

Chunmei Xu, Hao Zhang, D. Peng

引用次数: 1

Multiple sequence alignment and artificial neural networks for malicious software detection 多序列比对与人工神经网络恶意软件检测

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234576

Yi Chen, A. Narayanan, Shaoning Pang, B. Tao

{"title":"Multiple sequence alignment and artificial neural networks for malicious software detection","authors":"Yi Chen, A. Narayanan, Shaoning Pang, B. Tao","doi":"10.1109/ICNC.2012.6234576","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234576","url":null,"abstract":"Malware is currently a major threat to information and computer security, with the volume and growing diversity of its variants causing major problems to traditional security defenses. Software patches and upgrades to anti-viral packages are typically released only after the malware's key characteristics have been identified through infection, by which time it may be too late to protect systems. Sequence analysis is widely used in bioinformatics for revealing the genetic diversity of organisms and annotating gene functions. This paper adopts a new approach to the problem of malware recognition, which is to use multiple sequence alignment techniques from bioinformatics to align variable length computer viral and worm code so that core, invariant regions of the code occupy fixed positions in the alignment patterns. Data mining (ANNs, symbolic rule extraction) can then be used to learn the critical features that help to determine into which class the aligned patterns fall. Experimental results demonstrate the feasibility of our novel approach for identifying malware code through multiple sequence alignment followed by analysis by ANNs and symbolic rule extraction methods.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126286214","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: 26

Adaptive neural network control for a class of nonlinear discrete system 一类非线性离散系统的自适应神经网络控制

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234582

Wuxi Shi, Yingxin Ma, Yuchan Chen, Ziguang Guo

引用次数: 0

Multi-objective immune genetic algorithm solving dynamic single-objective multimodal constrained optimization 求解动态单目标多模态约束优化的多目标免疫遗传算法

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234765

Zhuhong Zhang, Min Liao, Lei Wang

引用次数: 1

Improved ant colony optimization for multi-objective route planning of dangerous goods 基于改进蚁群算法的危险品多目标路线规划

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234603

Qianzhong Xiang, Hongga Li, B. Huang, Rongrong Li

{"title":"Improved ant colony optimization for multi-objective route planning of dangerous goods","authors":"Qianzhong Xiang, Hongga Li, B. Huang, Rongrong Li","doi":"10.1109/ICNC.2012.6234603","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234603","url":null,"abstract":"Dangerous goods (DGs) can significantly affect the human and nature if they are exposed to the environment without any protection. This situation is likely to occur when accidents happen during the transportation process. Especially in large cities, due to high population density and complex traffic network, the transportation of GDs has to pass through densely populated areas or other sensitive districts. So only considering one traditional objective in routing planning, such as the shortest length of route or lowest cost, can no longer meet our needs. There is an urgent need to review and improve the way of route optimization for DGs transportation. This paper develops a multi-objective model for the determination of optimal routes. In this model, three conflicting objectives are considered. They are total travelling time, accident probability and population exposure risk. For settling this model, an improved ant colony optimization (ACO) is introduced with a novel multi-objective decision method named MAXMIN. With the support of geographical information system (GIS), a case study of Hong Kong is carried out for the transportation of DGs. The experimental results show the proposed approach is feasible and effective.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126133126","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

Some comparison on whole-proteome phylogeny of large dsDNA viruses based on dynamical language approach and feature frequency profiles method 基于动态语言方法和特征频率谱法的大型dsDNA病毒全蛋白质组系统发育比较

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234564

Li-qian Zhou, Zuguo Yu, Guo-Sheng Han, Guang-ming Zhou, De-Sheng Wang

{"title":"Some comparison on whole-proteome phylogeny of large dsDNA viruses based on dynamical language approach and feature frequency profiles method","authors":"Li-qian Zhou, Zuguo Yu, Guo-Sheng Han, Guang-ming Zhou, De-Sheng Wang","doi":"10.1109/ICNC.2012.6234564","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234564","url":null,"abstract":"There has been a growing interest in alignment-free methods for phylogenetic analysis using complete genome data. Among them, CVTree method, feature frequency profiles method and dynamical language approach were used to investigate the whole-proteome phylogeny of large dsDNA viruses. Using the data set of large dsDNA viruses from Gao and Qi (BMC Evol. Biol. 2007), the phylogenetic results based on the CVTree method and the dynamical language approach were compared in Yu et al. (BMC Evol. Biol. 2010). In this paper, we first apply dynamical language approach to the data set of large dsDNA viruses from Wu et al. (Proc. Natl. Acad. Sci. USA 2009) and compare our phylogenetic results with those based on the feature frequency profiles method. Then we construct the whole-proteome phylogeny of the larger dataset combining the above two data sets. According to the report of The International Committee on the Taxonomy of Viruses (ICTV), the trees from our analyses are in good agreement to the latest classification of large dsDNA viruses.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114077153","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

Convergence and robustness analysis of disturbed gradient neural network for solving LMS problem 扰动梯度神经网络求解LMS问题的收敛性和鲁棒性分析

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234546

Wudai Liao, Xingfeng Wang, Yuyu Yang, Junyan Wang

引用次数: 0

Multi-objective optimization of reservoir flood dispatch based on MOPSO algorithm 基于MOPSO算法的水库洪水调度多目标优化

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234561

Shuai Wang, Xiao Lei, Xiaomin Huang

引用次数: 10