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...
Salvato in:
| Autore principale: | |
|---|---|
| Altri autori: | , |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2007. |
| Serie: | Studies in Computational Intelligence
35 |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Trends in Neural Computation, Texte imprimé, 9783540826538 • Trends in Neural Computation, Texte imprimé, 9783642071591 • Trends in Neural Computation, Texte imprimé, 9783540361213 • Trends in Neural Computation, Texte imprimé, 9783540826538 • Trends in Neural Computation, Texte imprimé, 9783642071591 • Trends in Neural Computation, Texte imprimé, 9783540361213 |
Sommario:
- 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.