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» Interactive initialization of the multilayer perceptron
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PRL
2000
62views more  PRL 2000»
14 years 9 months ago
Interactive initialization of the multilayer perceptron
A new multilayer preceptor initialization method is proposed and compared experimentally with a traditional random initialization method. An operator maps training-set vectors int...
Aistis Raudys
EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
15 years 1 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...
IJCNN
2000
IEEE
15 years 1 months ago
Incorporating a priori Knowledge into Initialized Weights for Neural Classifier
Artificial neural networks (ANN), esp. multilayer perceptrons (MLP) have been widely used in pattern recognition and classification. Nevertheless, how to incorporate a priori know...
Zhe Chen, Tian-Jin Feng, Zweitze Houkes
77
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IJON
2000
105views more  IJON 2000»
14 years 9 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...