Construction of multiplier by neural network
Naohiro Toda, S. Usui · 2003
Construction of a neural network using a neural multiplier module (NMM) is proposed. The learning results show that a fairly simple structure can be used. The proposed method can be used effectively to set the initial state (structure and weighting parameter of network) for learning. Furthermore, this method can be applied to prewiring. There is no evidence that the structure is optimum.>