Constructive Neural Networks
The book is a collection of invited papers on Constructive methods for Neural networks. Most of the chapters are extended versions of works presented on the special session on constructive neural network algorithms of the 18th International Conference on Artificial Neural Networks (ICANN 2008) held...
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| Other Authors: | , , |
| Format: | Electronic |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Series: | Studies in Computational Intelligence,
258 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-04512-7 |
Table of Contents:
- Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks
- Efficient Constructive Techniques for Training Switching Neural Networks
- Constructive Neural Networks Algorithms that Solve Highly Non-Separable Problems
- On Constructing threshold Networks for Pattern Classification
- Self-Optimizing neural Networks 3
- Multiclass Concept Lattice-Based Artificial Neural Networks
- Constructive Morphological Neural Networks: some Theoretical Aspects and Experimental Results in Classification
- A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on linear Separability
- Analysis and Testing of the M-Class RDP Neural Network
- Active Learning using a new Constructive Neural Network Algorithm
- Incorporating Expert Advice into Reinforcement Learning using Constructive Neural Networks
- A Constructive Neural Network for Evolving a Machine Controller in Real-Time
- Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets
- Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks
- Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees.