Implementation of a VLSI Feedback Neural Network Chip with Internal Automatic Identification of Successful Prototype Retrieval

Most neural networks, especially feedforward and feedback, do always produce an output for any input stimulation, the relevance of which is being assessed by the supervisor, who marks a succes in case of recognition or correct classification, and a failure if it is not the case. It is particuarly interesting, in view of multi-networks architectures, that any network may be made autonomous, capable of self-identification of success or failure.