Advances in Neural Networks - ISNN 2005（神经网络进展-ISNN 2007 第三部分）

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.

12 Control Systems
NN-Based Iterative Learning Control Under Resource Constraints:A Feedback Scheduling Approach·
Sequential Support Vector Machine Control of Nonlinear Systems by State Feedback
RBFNN-Based Multiple Steady States Controller for Nonlinear System and Its Application
Sliding Mode Control for Uncertain Nonlinear Systems Using RBF Neural Networks
Adaptive Backstepping Neural Network Control for Unknown Nonlinear Time-Delay Systems
Multiple Models Adaptive Control Based on RBF Neural Network Dynamic Compensation
Stability Analysis and Performance Evaluation of an Adaptive Neural Controller
Adaptive Inverse Control System Based on Least Squares Support Vector Machines
H-Infinity Control for Switched Nonlinear Systems Based on RBF Neural Networks
Neural Networks Robust Adaptive Control for a Class of MIMO Uncertain Nonlinear Systems
Adaptive Critic for Controller Malfunction Accommodation
Output Based Fault Tolerant Control of Nonlinear Systems Using RBF Neural Networks
Fault Tolerant Control of Nonlinear Processes with Adaptive Diagonal Recurrent Neural Network Model Dealing with Fault Dynamics in Nonlinear Systems via Double Neural Network Units
Neural Adaptive Singularity-Free Control by Backstepping for Uncertain Nonlinear Systems
Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks
A Fuzzy CMAC Controller with Eligibility
A Novel Intelligent Controller Based on Modulation of Neuroendocrine System
Batch-to-Batch Optimal Control Based on Support Vector Regression Model
Nonlinear Predictive Control Based on Wavelet Neural Network Applied to Polypropylene Process
Neural Network Control of Heat Exchanger Plant
Remote Controller Design of Networked Control Systems Based on Self-constructing Fuzzy Neural Network
Sliding Mode Control for Cross Beam Simulation System via Neural Network
Vibration Suppression of Adaptive Truss Structure Using Fuzzy Neural Network
　……
13 Robotic Systems
14 Telecommunication Networks
15 Incidence Detection
16 Fault Diagnosis
17 Power Systems
18 Biomedical Applications
19 Industrial Applications
20 Industrial Applocations
21 Other Applications
Author Index