Stock Price Forecast Based on Bacterial Colony RBF Neural Network

Zhao Zhi-gang

Journal of Qingdao University · 2007 · 37 citations · 0 references

Concepts

Abstract

A new Bacterial Colony Radial Basis Function Neural Network(RBFNN) algorithm,which was applied to forecast the stock price,was proposed on the basis of the bacterial colony algorithm,and a technological index model was introduced in the forecast.Experimental results show that the new algorithm can obtain the higher training efficiency and better forecasting results than the traditional RBFNN algorithm.