US 5,546,503 A · Apparatus for configuring neural network and pattern recognition apparatus using neural network

Abstract

In a neural network having neurons connected in a multi-layer, firstly, input signal sets are sequentially entered to statistically process the outputs of hidden neurons and determine the optimum number of hidden neurons. Secondly, while changing the input signal entered to each input neuron to the maximum change limit, the change of output values of the other input neurons are checked to thereby determine an unnecessary input neuron. Thirdly, the weights between input neurons and hidden neurons are set to be in correspondence with a hyperplane to enable pattern recognition.

Claims20

Dependent claims

An apparatus for configuring a multi-layered neural network comprising:

neurons in each layer of the multi-layered configuration and synapses connecting said neurons between the layers for storing input/output training data sets, each including input data signals and corresponding desired output data signals;
and
means for optimizing said neural network in accordance with said training data sets to satisfy given conditions which include a designated learning time period, an optimized neural network scale and minimized erroneous operations for input data other than said training data sets.

Dependencies are inferred from the claim text.

Apparatus for configuring neural network and pattern recognition apparatus using neural network

Life of this patent

Apparatus for configuring neural network and pattern recognition apparatus using neural network

Life of this patent

Abstract

Claims20