Multidimensional binary search calculation of the neuron model

Artificial neural networks have the potential for parallel processing with integrated circuit technology. Over 1 million gates are now available in the latest FPGA (Field Programmable Gate Array). However, the sum-of-product circuit used for evaluating inputs of the neuron model is complex and not effective for hardware implementation by FPGAs. In this paper, an improved calculation algorithm of the perceptron-type neuron model is proposed, based on multidimensional binary search. Since the search does not need the sum-of-product circuit, the designed neuron circuit is small and fast. It is suitable for hardware implementation. © 2001 Scripta Technica, Electr Eng Jpn, 138(2): 24–32, 2002