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...
保存先:
| 第一著者: | |
|---|---|
| その他の著者: | , |
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2009.
Cham : Springer Nature |
| シリーズ: | Studies in Computational Intelligence
258 |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Constructive Neural Networks, Texte imprimé, 9783642045110 • Constructive Neural Networks, Texte imprimé, 9783642045288 • Constructive Neural Networks, Texte imprimé, 9783642261084 |
| LEADER | 04165nam a22003617a 4500 | ||
|---|---|---|---|
| 001 | 942050 | ||
| 008 | 100125s2009 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN139962182 | ||
| 020 | |a 9783642045127 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 100 | 1 | |a Franco, Leonardo. | |
| 245 | 1 | 0 | |a Constructive neural networks |c edited by Leonardo Franco, David A. Elizondo, José M. Jerez. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2009. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 258 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks -- Efficient Constructive Techniques for Training Switching Neural Networks -- Constructive Neural Network Algorithms That Solve Highly Non-separable Problems -- On Constructing Threshold Networks for Pattern Classification -- Self-Optimizing Neural Network 3 -- M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network -- 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 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 September 3-6, 2008 in Prague, Czech Republic. The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to standard trial and error methods for searching adequate architectures. It is made of 15 articles which provide an overview of the most recent advances on the techniques being developed for constructive neural networks and their applications. It will be of interest to researchers in industry and academics and to post-graduate students interested in the latest advances and developments in the field of artificial neural networks. | ||
| 700 | 1 | |a Jerez, José M. |4 pbd | |
| 700 | 1 | |a Elizondo, David A. |4 pbd | |
| 776 | 0 | |t Constructive Neural Networks |b Texte imprimé |z 9783642045110 | |
| 776 | 0 | |t Constructive Neural Networks |b Texte imprimé |z 9783642045288 | |
| 776 | 0 | |t Constructive Neural Networks |b Texte imprimé |z 9783642261084 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-04512-7 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-QN8XGLKG-K |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747840504 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-04512-7 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750857986 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-04512-7 |z Accès INSA CVL | |
| 997 | |0 942050 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||