RESEARCH ON THE LEARNING ALGORITHM OF BINARY NEURAL NETWORK
Xiao Ma · Chinese Journal of Computers · 1999
In this paper, the learning of binary neural network for Boolean function mapping is projected as representing sets of the learning patterns by neurons. For hidden layer, a concept of weighted Hamming distance sphere is introduced to further improve the learning efficiency and generalize the learning strategies as well. For output layer, some new results about representing combination of sets, which are devoted to simplify implementation of Boolean function, are proposed. Under the learning strategies the weights and thresholds are all integers, and the network is easy to be implemented by hardware.