This paper shows the design possibility of a parameterizable implementation of neural multi-layer network on FPGA circuits (Field Programmable Gate Array) through the use of Handel-C language.

The algorithm used for the training is the back-propagation. ...

Recently it was shown that a unique permanent network for words exists in the brain. Here words are represented by (mirror-) neurons and interconnected through nerves. However it is an open question how the nervous connections should be chosen so that ...

This paper introduces a neural network training tool, NBN 2.0, which is developed based on neuron by neuron computing method [1][2]. Error backpropagation (EBP) algorithm, Levenberg Marquardt (LM) algorithm and its improved versions are implemented in ...