BP神经计算算法demo（java）

package org.gongzhihui; /** * @author Gong * 每次经过forecast()方法进行误差计算模型 */ public class Shopping { //点餐产品的价格 private static final int priceFish = 15; private static final int priceChips = 30; private static final int priceChup = 18; int right = 0; //点餐产品的预估价格 private float XpriceFish; private float XpriceChips; private float XpriceChup; //预估系数 private static final int para_e = 35; public void randomShopping(Shopping shopping) { float p1 = (int) (Math.random() * 5); float p2 = (int) (Math.random() * 5); float p3 = (int) (Math.random() * 5); shopping.forecast(p1, p2, p3); } private void forecast(float p1, float p2, float p3) { // 实际值y float y = priceFish * p1 + priceChips * p2 + priceChup * p3; // 根据上次的推测值t float t = XpriceFish * p1 + XpriceChips * p2 + XpriceChup * p3; //误差 float D_vaule = y-t; // 误差推测修正 XpriceFish += p1 * (D_vaule / para_e); XpriceChips += p2 * (D_vaule/ para_e); XpriceChup += p3 * (D_vaule / para_e); } @Override public String toString() { String string1 = "实际价格\npriceFish:" + priceFish + "\npriceChips:" + priceChips + "\npriceChup:" + priceChup; String string2 = "估计价格\nXpriceFish:" + XpriceFish + "\nXpriceChips:" + XpriceChips + "\nXpriceChup:" + XpriceChup; return string1.toString()+"\n"+string2.toString(); } }