Trends in Neural Computation
Nowadays neural computation has become an interdisciplinary field in its own right; researches have been conducted ranging from diverse disciplines, e.g. computational neuroscience and cognitive science, mathematics, physics, computer science, and other engineering disciplines. From different perspe...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
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| Series: | Studies in Computational Intelligence,
35 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Hyperbolic Function Networks for Pattern Classification
- Variable Selection for the Linear Support Vector Machine
- Selecting Data for Fast Support Vector Machines Training
- Universal Approach to Study Delayed Dynamical Systems
- A Hippocampus-Neocortex Model for Chaotic Association
- Latent Attractors: A General Paradigm for Context-Dependent Neural Computation
- Learning Mechanisms in Networks of Spiking Neurons
- GTSOM: Game Theoretic Self-organizing Maps
- How to Generate Different Neural Networks
- A Gradient-Based Forward Greedy Algorithm for Space Gaussian Process Regression
- An Evolved Recurrent Neural Network and Its Application
- A Min-Max Modular Network with Gaussian-Zero-Crossing Function
- Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering
- Modular Neural Networks and Their Applications in Biometrics
- Performance Analysis of Dynamic Cell Structures
- Short Term Electric Load Forecasting: A Tutorial
- Performance Improvement for Formation-Keeping Control Using a Neural Network HJI Approach
- A Robust Blind Neural Equalizer Based on Higher-Order Cumulants
- The Artificial Neural Network Applied to Servo Control System
- Robot Localization Using Vision.
