Neural network simulation for the risk judgment in human decision making 运用神经网络模拟人在决策中的风险判断
Modulus of transverse diffuse simulation based on artificial weural network 二维水质模型横向扩散系数的人工神经网络模拟
By using nn analogue nature of roadbed mixture , we build a self - adapting mode considering various factors which analogue nature of roadbed under different conditions 利用神经网络模拟研究了路面基层混合料的性能,建立了一个考虑了各因素影响的自适应模型,能很好地模拟路面基层在不同条件下的性能。
This improved bp algorithm was here used to predict some stock prices of shenzhen city to verify its accuracy and rationality , for the sake of roundly characterizing the trait and rule of the stock market , the model has gathered 500 groups of primary data from 3 . 1st , 2001 to 4 . 11th , 2003 , labored some factors that influence the effect on predicting the trend of stock prices by synthetically applying the means of elementary factor and technique analysis , thus we can extract the recursive technique parameter of proper - period , describe the vary trend of stock prices in form of fuzzy time series , and predict the ascending subjection degree of the stock prices in approaching homologous period and decide its accuracy 我们采用上述优化算法,对深市某股票价格进行了基于模糊参量的神经网络模拟。为全面反映股市的特点和规律,该模型采集2001年3月1日至2003年4月11日500组原始数据,综合运用基本因素法和技术分析法,详细分析了影响股价走势预测效果的一些因素,提取出一定周期的回归性技术参数,以模糊时间序列的形式描述股价的变化趋势,并对未来相应周期内该股票价格上升的隶属度进行预测,最后进行准确度判决。