Abstract
Recently, neurophysiology has made rapid progress and many studies on mechanism of our brains are being done. Some researches say that the emergence of bifurcation phenomena may elicit our intelligence in the brains. In this regard, it may give some insight into researches of our brains to realize bifurcation phenomena in artificial neural networks. Bifurcation phenomena occur when the qualitative properties of equilibrium points or limit cycles in the nonlinear systems change. In this paper, we propose a method of realizing bifurcation phenomena in neural networks by determining values of network parameters which satisfy bifurcation conditions.
