wnn wavelet neural network 中文意思是什麼
wnn wavelet neural network
解釋
小波神經網路-
Wavelet neural network ( wnn ) is a novel feed - forward neural network based on wavelet theory, and it possesses several excellent features
摘要小波神經網路是建立在小波理論基礎上的一種新型前饋神經網路，具有許多優良特性。 -
Theoretically, on the basis of the analyses of the errors of typical units in measurement systems, the concept of the separating and tracing of the output errors is advanced. its methods are discussed and compared. the analysis method of generalized wavelet - neural network ( wnn ) is applied
在理論上，首先在進行測量系統典型單元誤差分析的基礎上，論述了誤差分解與溯源的理論思想，並探討了進行動態誤差分解與溯源的方法，經過比較，確定了應用廣義小波神經網路的分析方法；然後，論述了精度損失診斷的理論與思想。 -
And other ions in oscillographic chronopotentiometric determination. compared with rpnn and wnn, combination of the wavelet transform and neural network for ocpd has higher prediction accuracy and less convergence epoch. this can be explained from two aspects. firstly, the network operation rate has been greatly enhanced because the optimal detail signal obtained after the wavelet transform not only is the characteristic information in original signal, but also has less number of data points than that of original signal. secondly, the higher prediction accuracy can be obtained because detail signal used as network input contains lower noise. as a result, the potential application of cwtnn for ocpd and other electroanalytical methods will be very excellent
這一方面是因為使用經小波壓縮后的信號作為神經網路的輸入，壓縮后的信號不僅提取了原信號中的特徵信息，而且使網路輸入的數據點數大幅度下降，大大提高了網路的運算速度。另一方面，由於選用了較高次分解所得的高頻部分作為網路輸入，從而即使在原始信號中含有較高的嗓音時也能獲得較高的預測準確度。因此，將具有壓縮功能的小波變換與神經網路相結合的方法必將得到廣泛的應用。 -
After collecting the characteristics of this signal in frequency domain, the samples are learned to train the constructed wavelet neural network ( wnn ) for realizing the mapping relationship between the fault and the spectrum characteristic, this method can be used for diagnosis of the unit faults efficiently
在對水電機組振動信號進行頻譜分析后，提取該信號在頻率域的特徵量，將頻譜特徵向量作為學習樣本，通過訓練，使構造的小波神經網路能夠反映頻譜特徵向量和故障類型之間的映射關系，從而達到故障診斷的目的。
分享友人