針對(duì)信息系統(tǒng)的特點(diǎn)和小波基具有很強(qiáng)的自適應(yīng)性和函數(shù)變化能力，提出了一種基于小波神經(jīng)網(wǎng)絡(luò)的信息系統(tǒng)綜合評(píng)價(jià)模型，并在最小均方能量準(zhǔn)則下，采用相應(yīng)的共軛梯度學(xué)習(xí)算法求解小波函數(shù)的尺度和時(shí)延參數(shù)，以及小波網(wǎng)絡(luò)的權(quán)值。仿真實(shí)驗(yàn)表明該算法用于信息系統(tǒng)綜合評(píng)價(jià)的有效性與準(zhǔn)確性，為信息系統(tǒng)的評(píng)價(jià)研究提供一條新的途徑。
關(guān) 鍵 詞 小波神經(jīng)網(wǎng)絡(luò); 信息系統(tǒng); 綜合評(píng)價(jià); 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