By experiment , the input - output characteristic of the liquid angular sensor is given 并通過實驗,給出液體擺角傳感器的輸入?輸出特性曲線。
2 . the nonlinear input - output characteristics of a gaas mesfet is modeled by the use of volterra series in the frequency domain 本文通過神經網絡和volterra級數的等價性,用訓練后的神經網絡確定出volterra級數的核函數。
The capacitance offset averaging network is used in the distributed track - and - hold circuit block of the designed system . finally , according to the analysis on error effects in adc , the mathematics error model is simulated . furthermore , the input - output characteristics including input - 最后,基于對a / d轉換器系統中誤差的分析,對其誤差數學模型進行了仿真,得到了包含延遲、限幅、諧波失真等誤差的輸入輸出特性曲線。
Based on this frequency domain model , after an mlp network training , the input - output characteristics of the device as well as the volterra series kernal function , which is hard to be determined by traditional approaches , is obtained with satisfactory accuracy . 3 . a wavelet neural network training method is used for the optimization of a microwave circuit 3 )把基于小波的神經網絡訓練方法用于微波電路的優化,通過對由微帶線組成的低通濾波器參數的仿真和優化,表明了在得到較好優化結果的情況下,其優化時間大大降低。
Fractal neighbor distance gives a quantitative measure of the input - output characteristics of the fractal code of an encoded image . the fundamental mechanism behind this recognition scheme lies in the uniqueness of the attractor of a fractal code . the attractor has the invariance to image translation , rotation , scaling and illumination 分形鄰距是針對進行了分形編碼的圖像而定義的一種圖像間相似度的測距方式,它具有編碼的吸引子唯一不變性的特點,因而對旋轉、縮放、平移以及光照都有不變性,這樣可以很好實現正確識別。