Internal connection method for neural networks linking successive neural layers. The output states of the neurons of a new layer are represented by functions obtained according to a first step (21) by carrying out a weighted summation of functions, each representing the output state of a neuron of the preceding layer, according to a second step (22) by applying a saturating function to the result of the summation and according to a third step (23) by applying a distribution function to the result of the saturating function. Application: image processing and analysis, signal processing. <IMAGE>
Internal connection method for neuranl networks.