Pattern recognition neural net insensitive to disturbances in inputs

A neural network assembly, comprising:

• a memory region for storing reference patterns and categories of said reference patterns;
• an adaptive input region, having region cells, for adaptively processing input patterns having disturbances into processed patterns with said disturbances removed, said adaptive input region being trainable to remove said disturbances by adjustment of said region cells of said adaptive input region by resilient interconnection;
• a pattern associator neural network, selectively coupled to said memory region and said adaptive input region, for recognizing patterns in said processed patterns corresponding to said reference patterns and for producing a recognition result representative of at least one of said categories;
• a training and recognition controlling unit, coupled to said memory region and said pattern associator neural network, for training said pattern associator neural network to correctly produce said recognition result and coupled to said adaptive input region for training said adaptive input region to remove said disturbances by said adjustment of said region cells by resilient interconnection;
• and
• a switching network, controlled by said controlling unit, for coupling said memory region to said pattern associator neural network for enabling said controlling unit during a training phase to train said pattern associator neural network by using said reference patterns and said categories from said memory region, and for coupling said adaptive input region to said pattern associator neural network for enabling said controlling unit during a recognition phase to train said adaptive input region.

A neural network assembly comprising:

• a memory region for memorizing reference patterns and categories of said reference patterns;
• an adaptive input region for adaptively processing input patterns having disturbances into processed patterns with said disturbances removed, said adaptive input region having a plurality of region cells bound together with resilient connections in accordance with an address force and being trainable to remove said disturbances by adjustment of said resilient connections;
• a pattern associator neural network, selectively coupled to said memory region and said adaptive input region, for recognizing patterns in said processed patterns corresponding to said reference patterns and for producing a recognition result representative of at least one of said categories;
• a training and recognition controlling unit, coupled to said memory region and said pattern associator neural network, for training said pattern associator neural network to correctly produce said recognition result and coupled to said adaptive input region for providing a delta force input for training said adaptive input region to remove said disturbances by said adjustment of said resilient connections of said region cells;
• and
• a switching network, controlled by said controlling unit, for coupling said memory region to said pattern associator neural network for enabling said controlling unit during a training phase of operation to train said pattern associator neural network by using said reference patterns and said categories from said memory region, and for coupling said adaptive input region to said pattern associator neural network for enabling said controlling unit during a recognition phase of operation to train said adaptive input region.