A Constructive Learning Algorithm Based on Division of Training Data for Multilayer Neural Networks

A Constructive Algorithm for the Training of a Multilayer Perceptron Based on the Genetic Algorithm

A genetic algorit hm is proposed for the training and construction of a multilayer perceptron. The genetic algorit hm works on a layer-by-layer basis. For each layer, it automat ically chooses the number of neurons required, computes the synaptic weights between the present layer of neurons and the next layer, and gives a set of training patterns for the succeeding layer. The algorithm presente...

A Constructive Algorithm for Feedforward Neural Networks With Incremental Training

We develop, in this brief, a new constructive learning algorithm for feedforward neural networks. We employ an incremental training procedure where training patterns are learned one by one. Our algorithm starts with a single training pattern and a single hidden-layer neuron. During the course of neural network training, when the algorithm gets stuck in a local minimum, we will attempt to escape...

Face recognition based on perceived facial images and multilayer perceptron neural network using constructive training algorithm

This study presents a modified constructive training algorithm for multilayer perceptron (MLP) which is applied to face recognition problem. An incremental training procedure has been employed where the training patterns are learned incrementally. This algorithm starts with a small number of training patterns and a single hidden-layer using an initial number of neurons. During the training, the...

An algorithm for training multilayer networks on non-numerical data

An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks.

The spiking neural networks (SNNs) are the third generation of neural networks and perform remarkably well in cognitive tasks such as pattern recognition. The spike emitting and information processing mechanisms found in biological cognitive systems motivate the application of the hierarchical structure and temporal encoding mechanism in spiking neural networks, which have exhibited strong comp...