Advances in Natural Computation

Neural Network Learning Algorithms

1. A Novel Learning Algorithm for Wavelet Neural Networks

   • Min Huang, Baotong Cui

   Pages 1-7

2. Using Unscented Kalman Filter for Training the Minimal Resource Allocation Neural Network

   • Ye Zhang, Yiqiang Wu, Wenquan Zhang, Yi Zheng

   Pages 8-14

3. The Improved CMAC Model and Learning Result Analysis

   • Daqi Zhu, Min Kong, YonQing Yang

   Pages 15-24

4. A New Smooth Support Vector Regression Based on ε-Insensitive Logistic Loss Function

   • Yang Hui-zhong, Shao Xin-guang, Ding Feng

   Pages 25-32

5. Neural Network Classifier Based on the Features of Multi-lead ECG

   • Mozhiwen, Feng Jun, Qiu Yazhu, Shu Lan

   Pages 33-43

6. A New Learning Algorithm for Diagonal Recurrent Neural Network

   • Deng Xiaolong, Xie Jianying, Guo Weizhong, Liu Jun

   Pages 44-50

7. Study of On-line Weighted Least Squares Support Vector Machines

   • Xiangjun Wen, Xiaoming Xu, Yunze Cai

   Pages 51-60

8. Globally Exponential Stability Analysis and Estimation of the Exponential Convergence Rate for Neural Networks with Multiple Time Varying Delays

   • Huaguang Zhang, Zhanshan Wang

   Pages 61-70

9. Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence

   • Jigang Wang, Predrag Neskovic, Leon N. Cooper

   Pages 71-80

10. Fuzzy Self-Organizing Map Neural Network Using Kernel PCA and the Application

    • Qiang Lv, Jin-shou Yu

    Pages 81-90

11. An Evolved Recurrent Neural Network and Its Application

    • Chunkai Zhang, Hong Hu

    Pages 91-100

12. Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction

    • Jian Xiao, Zongtan Zhou, Dewen Hu, Junsong Yin, Shuang Chen

    Pages 101-109

13. Active Learning for Probabilistic Neural Networks

    • Bülent Bolat, Tülay Yıldırım

    Pages 110-118

14. Adaptive Training of Radial Basis Function Networks Using Particle Swarm Optimization Algorithm

    • Hongkai Ding, Yunshi Xiao, Jiguang Yue

    Pages 119-128

15. A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps

    • Joseph Herbert, JingTao Yao

    Pages 129-138

16. A Novel Intrusions Detection Method Based on HMM Embedded Neural Network

    • Weijin Jiang, Yusheng Xu, Yuhui Xu

    Pages 139-148

17. Generate Different Neural Networks by Negative Correlation Learning

    • Yong Liu

    Pages 149-156

18. New Training Method and Optimal Structure of Backpropagation Networks

    • Songyot Sureerattanan, Nidapan Sureerattanan

    Pages 157-166

19. Learning Outliers to Refine a Corpus for Chinese Webpage Categorization

    • Dingsheng Luo, Xinhao Wang, Xihong Wu, Huisheng Chi

    Pages 167-178