Binary optical neural network classifiers for pattern recognition

摘要

The present invention recites a method and computer program product for determining if an input pattern is a member of an associated class. Data is extracted from a plurality of preselected features within the input pattern, and a numerical feature value for each feature is determined from the extracted feature data. A contribution value for each feature value is calculated via a common transfer function. Predetermined weights are applied to each of the contribution values. The weighted contribution values from the plurality of features are summed, and a mathematical function is applied to the sum of the contribution values to determine a classification result.