Title :
Ratio pulse arithmetic for radial basis function network
Author :
Lim, Joonho ; Chae, Soo-Ik
Author_Institution :
Dept. of Electron. Eng., Seoul Nat. Univ., South Korea
Abstract :
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 RBF network
Keywords :
adders; digital arithmetic; feedforward neural nets; logic gates; multiplying circuits; neural chips; pattern classification; NOR gates; adder; exponential function; multiplier; neural networks; pattern classifier; radial basis function network; random pulse stream; ratio pulse arithmetic; subtraction; Adders; Arithmetic; Circuit simulation; Computational modeling; Computer networks; Frequency; Neural network hardware; Neural networks; Radial basis function networks; Stochastic processes;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487382
