METHOD AND DEVICE FOR PARALLEL SIMULATION OF NEURAL NETWORK

摘要

PURPOSE:To increase the processing speed with the subject method and device by processing the back propagation algorithm with high parallelism. CONSTITUTION:When the largest number of units is referred to as (n) within a layer, the maximum (k X m) pieces of weight obtained between the i-th layer consisting of (k) units and the (i + 1)-th layer consisting of (m) units are successively set opposite to the j-th column of an arithmetic element group together with the weights applied among the units covering the j-th unit of the i-th layer through all units of the (i + 1)-th layer on the arithmetic element groups which are arranged in an (n X n)-2-dimensional lattice form and can transfer data. Then the weights applied among the units covering the j-th unit of the (i + 1)-th layer through all units of the (i + 2)-th layer are successively set opposite to the j-row of the arithmetic element group. Thus the parallel learning operations are carried. out. In such a way, the transfer of data and the arithmetic operations are repeated in both row and column directions. Thus the learning is attained with high parallelism with the transfer of data as well as the arithmetic operations. Then the simulation is carried out at a high speed.