초록 ▼

An intelligence information processing system is composed of an associative memory and a serial processing-type computer. Input pattern information is associated with the associative memory, and pattern recognition based on the computer evaluates an associative output. In accordance with this evalua

An intelligence information processing system is composed of an associative memory and a serial processing-type computer. Input pattern information is associated with the associative memory, and pattern recognition based on the computer evaluates an associative output. In accordance with this evaluation, an associative and restrictive condition is repeatedly added to the energy function of a neural network constituting the associative memory, thereby converging the associative output on a stable state of the energy. The converged associative output is verified with intelligence information stored in a computer memory. The associative and restrictive condition is again repeatedly added to the energy function in accordance with the verification so as to produce an output from the system.

대표청구항 ▼

A method for processing an input sequence of elements for comparison with a predetermined set of sequences of a predetermined set of elements, comprising the steps of: (a) applying the input sequence of elements to an input of an associative memory comprising a neural network; (b) obtaining an assoc

A method for processing an input sequence of elements for comparison with a predetermined set of sequences of a predetermined set of elements, comprising the steps of: (a) applying the input sequence of elements to an input of an associative memory comprising a neural network; (b) obtaining an associated output sequence of elements from the associative memory; (c) evaluating each element of the associated output sequence of elements to determine whether each element is a member of the predetermined set of elements; (d) improving the energy function of the neural network in response to a determination that an element is not in the predetermined set of elements; (e) repeating the steps of applying and evaluating in response to a determination that an element is not in the predetermined set, applying the element as the input to the associative memory; (f) evaluating the associated output sequence of elements to determine whether the associated output sequence is a member of the predetermined set of sequences; (g) improving the energy function of the neural network in response to a determination that the associated sequence is not in the predetermined set of sequences; and (h) repeating the step of applying and the steps of and evaluating in response to a determination that the associated sequence is not in the predetermined set of sequences, applying the input sequence of elements to the associated memory.