The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.
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Neural network based iterative learning control (NNILC) has attracted significant attention in many control applications thanks to the successful combination of neural networks and iterative learning control. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
informative gene selection, speed prediction model, tool wear value, adaptive predictive control strategy, high loss data, copper blow period, perceptron predictor, loosening fault, right rear driving wheel, ship power load, weight quality index, latency change estimation, primary disturbance signal, antibiotic fermentation process, arc furnace model, primary control unit, blowing quantity, feedback scheduling approach, input recommender, neural network equalizer, gene expression profile data, acetone product quality, nonlinear energy operator, vehicle flow density, violent abnormal vibration Key Phrases - Capitalized Phrases (CAPs): (learn more)
Springer-Verlag Berlin Heidelberg, New York, Tsinghua University, China Abstract, National Natural Science Foundation of China, Hong Kong, Chongqing University, Information Science, Department of Automation, International Symposium, Xi'an Jiaotong University, Prentice Hall, John Wiley, Department of Electrical Engineering, Empirical Mode Decomposition, Institute of Automation, Springer Verlag, Technical Report, Tolo Harbour, Biomedical Engineering, Chinese Academy of Sciences, Neural Information, Proceedings of the International Joint Conference, Southeast University, World Congress New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Neural network based iterative learning control (NNILC) has attracted significant attention in many control applications thanks to the successful combination of neural networks and iterative learning control. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
informative gene selection, speed prediction model, tool wear value, adaptive predictive control strategy, high loss data, copper blow period, perceptron predictor, loosening fault, right rear driving wheel, ship power load, weight quality index, latency change estimation, primary disturbance signal, antibiotic fermentation process, arc furnace model, primary control unit, blowing quantity, feedback scheduling approach, input recommender, neural network equalizer, gene expression profile data, acetone product quality, nonlinear energy operator, vehicle flow density, violent abnormal vibration Key Phrases - Capitalized Phrases (CAPs): (learn more)
Springer-Verlag Berlin Heidelberg, New York, Tsinghua University, China Abstract, National Natural Science Foundation of China, Hong Kong, Chongqing University, Information Science, Department of Automation, International Symposium, Xi'an Jiaotong University, Prentice Hall, John Wiley, Department of Electrical Engineering, Empirical Mode Decomposition, Institute of Automation, Springer Verlag, Technical Report, Tolo Harbour, Biomedical Engineering, Chinese Academy of Sciences, Neural Information, Proceedings of the International Joint Conference, Southeast University, World Congress New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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