This paper puts forward a fuzzy neural network system aimed at stock price prediction, and an ameliorative method on its function is studied.
In training of Back-Propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network's convergence; Introduced the further optimization of the network's structure, it gives the research re...