298 search results - page 15 / 60 » Optimizing number of hidden neurons in neural networks |
IJCNN
2000
IEEE
14 years 8 days ago
2000
IEEE
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
ICANN
2003
Springer
14 years 1 months ago
2003
Springer
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
CJ
2008
13 years 8 months ago
2008
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
ICANNGA
2007
Springer
14 years 2 months ago
2007
Springer
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...