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» Evolving Multilayer Perceptrons
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CIS
2005
Springer
14 years 1 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
ICANN
2007
Springer
13 years 11 months ago
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors
Abstract. In this paper we present a novel method for pruning redundant weights of a trained multilayer Perceptron (MLP). The proposed method is based on the correlation analysis o...
Cláudio M. S. Medeiros, Guilherme De A. Bar...
ESANN
2008
13 years 9 months ago
Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
Victor Uc Cetina
AMAI
2002
Springer
13 years 7 months ago
Minimizing Output Error in Multi-Layer Perceptrons
act It is well-established that a multi-layer perceptron (MLP) with a single hidden layer of N neurons and an activation function bounded by zero at negative infinity and one at in...
Jonathan P. Bernick
JUCS
2008
181views more  JUCS 2008»
13 years 7 months ago
An IP Core and GUI for Implementing Multilayer Perceptron with a Fuzzy Activation Function on Configurable Logic Devices
: This paper describes the development of an Intellectual Property (IP) core in VHDL able to implement a Multilayer Perceptron (MLP) artificial neural network (ANN) topology with u...
Alfredo Rosado Muñoz, Luis Gómez-Cho...