Ratio Pulse Arithmetic for Radial Basis Function Network
نویسندگان
چکیده
Ratio pulse arithmetic represents a signal with a random pulse stream and its value is defined as the ratio of ones and zeroes in its random pulse stream. We propose circuits for the exponential function and subtraction, and explain how to implement a radial basis function(RBF) network. We applied the RBF network to a classifier example. Simulation results show that its performance is comparable to that of a conventional neural network.
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