基于小波神经网络的信息系统综合评价模型

针对信息系统的特点和小波基具有很强的自适应性和函数变化能力，提出了一种基于小波神经网络的信息系统综合评价模型，并在最小均方能量准则下，采用相应的共轭梯度学习算法求解小波函数的尺度和时延参数，以及小波网络的权值。仿真实验表明该算法用于信息系统综合评价的有效性与准确性，为信息系统的评价研究提供一条新的途径。
关 键 词 小波神经网络; 信息系统; 综合评价; 算法

Abstract This paper proposes a new comprehensive valuation method based on characteristic of information system and the property that wavelet can smooth data and adapt to the change of function. Furthermore, the dilation and shifts that are the parameters of wavelet function and the weight of neural network structure are calculated by conjugated gradient algorithm in term of the latest mean squared energy criterion.The results shown by the simulation that the method was effective and veracity for comprehensive evaluation of information system, and can provide a new way for evaluation research of information system.
Key words wavelet neural network; information system; comprehensive evaluation; algorithm