LNCS 2810 A Multiagent Based Constructive Approach for Feedforward Neural Networks 1st Edition by Clodoaldo Lima, André Coelho, Fernando Von Zuben  ISBN 3540452311 9783540452317

LNCS 2810 – A Multiagent-Based Constructive Approach for Feedforward Neural Networks 1st Edition by Clodoaldo A. M. Lima, André L. V. Coelho, Fernando J. Von Zuben  – Ebook PDF Instant Download/Delivery. 3540452311, 9783540452317

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Product details:

ISBN 10: 3540452311

ISBN 13: 9783540452317

Author:  Clodoaldo A. M. Lima, André L. V. Coelho, Fernando J. Von Zuben  

LNCS 2810 – A Multiagent-Based Constructive Approach for Feedforward Neural Networks 1st Edition: In this paper, a new constructive approach for the automatic definition of feedforward neural networks (FNNs) is introduced. Such approach (named MASCoNN) is multiagent-oriented and, thus, can be regarded as a kind of hybrid (synergetic) system. MASCoNN centers upon the employment of a two-level hierarchy of agent-based elements for the progressive allocation of neuronal building blocks. By this means, an FNN can be considered as an architectural organization of reactive neural agents, orchestrated by deliberative coordination entities via synaptic interactions. MASCoNN was successfully applied to implement nonlinear dynamic systems identification devices and some comparative results, involving alternative proposals, are analyzed here.

 

LNCS 2810 – A Multiagent-Based Constructive Approach for Feedforward Neural Networks 1st Edition Table of contents:

1 Introduction

2 Related Approaches

3 MASCoNN: Constructive Neural Networks from a Multiagent Systems Perspective

3.1 Hierarchical Organization

3.2 MASCoNN Agent Structure

4 An Agent-Based Approach for Multidimensional Nonlinear Mapping

5 MASCoNN for Nonlinear Dynamic Systems Identification

6 Final Remarks

 

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