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» Multilayer Perceptron: Architecture Optimization and Trainin...
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EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
13 years 8 months ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
CIS
2005
Springer
13 years 10 months ago
Training Multi-layer Perceptrons Using MiniMin Approach
Abstract. Multi-layer perceptrons (MLPs) have been widely used in classification and regression task. How to improve the training speed of MLPs has been an interesting field of res...
Liefeng Bo, Ling Wang, Licheng Jiao
SBRN
2002
IEEE
13 years 9 months ago
Neural Connect 4 - A Connectionist Approach to the Game
This article presents the system “Neural Connect 4”, a program that plays the game Connect Four. This system employs the multilayer perceptron architecture which is learning t...
Marvin Oliver Schneider, João Luís G...
IJON
2000
105views more  IJON 2000»
13 years 4 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
IJON
2006
111views more  IJON 2006»
13 years 4 months ago
Dynamic pruning algorithm for multilayer perceptron based neural control systems
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
Jie Ni, Qing Song