| 摘要 |
PROBLEM TO BE SOLVED: To make relearning processing possible with simple processing without changing a weight coefficient in neural network (DRNN) by changing weight from a virtually provided fixed unit on the basis of a specified learning rule. SOLUTION: A dummy fixed output unit for supplying each unit of DRNN with data from the outside is virtually provided. This fixed output unit continues to output the value of 1.0 at all times without being supplied with data from any other part. In relearning processing in a DRNN relearning processing part 22, bias from this fixed output unit is dealt with equally to weight without changing weight indicating mutual connecting strength between, units, and this weight is changed applying a learning rule. The bias serving as newly learned weight is stored in a second DRNN data storage part 24. |
