Neuron Model and its Realization for Semiconductor Neural Computer

Artificial neural networks are nonlinear dynamic systems which are constituted of abundant simple processing unites, their characteristics include parallel computing, memory distributing, self-learning and self-organization, etc. They are used to solve many artificial intelligence problems that are very difficult or impossible to be solved by traditional computer. Based on theory of the semiconductor neural computer, combinatorial logical design of floating-point operation for neuron hardware of the semiconductor neural computer is proposed in this paper. The experiment results validate its rationality.