APPLICATIONS OF RANDOM-PULSE MACHINE CONCEPT TO NEURAL-NETWORK DESIGN

Neural networks can reach their true potential only when they are impl emented in hardware as massively parallel processors, This paper prese nts the random-pulse machine concept and shows how it can be used for the modular design of neural networks, Random-pulse machines deal with analog variables represented by the mean rate of random-pulse streams and use simple digital technology to perform arithmetic and logic ope rations, This concept presents a good tradeoff between the electronic circuit complexity and the computational accuracy, The resulting neura l network architecture has a high packing density and is well suited f or very large-scale integration (VLSI), Simulation results illustrate the performance of the basic elements of a random-pulse neuron.