Neural network using oscillators
Tetsuro Endo, Kazuhiro Takeyama · Electronics and Communications in Japan (Part III Fundamental Electronic Science) · 1992
Abstract This paper proposes an oscillator neural network which replaces the sigmoidal nonlinearities in a Hopfield neural network with oscillators. When oscillators are used as saturating nonlinearities and their rise and fall times are utilized, results similar to simulated annealing are obtained, and therefore the desired solution can be obtained in a relatively short time. As examples, we show that the 4‐bit A/D converter problem, the 10‐city traveling salesman problem, and a simple associative memory problem can be solved by the oscillator neural network.