System for solving an adaptation problem by adjusting weights of a neural network based on changes in a cost function

摘要

A system and method for solving adaptation problems including a neural network having multiple neurons. Each neuron includes outputs that are input to every other neuron excepting itself, and a cost calculation portion for calculating cost based on a formula that uses outputs from each neuron as variables with respect to the given adaptation problem. Adaptation problems are solved by i) randomly setting a coupling weight for each neuron based on other neuron operations and an output of each neuron in the initial state, ii) calculating a net value with respect to at least one neuron, iii) calculating cost by transmitting the output of each neuron after the net value calculation to the cost calculation portion, iv) simultaneously feeding back the difference between the cost before and after the net calculation to a neural network of mutual connection, v) correcting the coupling weight of at least one neuron according to the difference, and repeatedly changing the state of the neural network until a predetermined condition is established, and vi) changing the state of the neural network after the predetermined condition is satisfied, realizing the solution to the adaptation problem based on the output of each neuron. It is unnecessary to determine the coupling weight of synapse preliminarily when using the present invention. The present invention can solve adaptation problems having various cost functions to which conventional models cannot be applied.