基本解釋[計(jì)算機(jī)科學(xué)技術(shù)]神經(jīng)元特征函數(shù)英漢例句雙語(yǔ)例句Method: Based on dynamic error correction BP artificial neural network with Hyperbolic Tangent function as activation function and the number of hidden node six.方法：利用動(dòng)態(tài)學(xué)習(xí)比率BP算法以雙曲正切函數(shù)為功能函數(shù)的非線(xiàn)性時(shí)間序列預(yù)測(cè)方法。Methods Based on dynamic error correction BP using artificial neural network with Hyperbolic Tangent function as activation function and the number of hidden node six.方法利用動(dòng)態(tài)學(xué)習(xí)比率BP算法以雙曲正切函數(shù)為功能函數(shù)的非線(xiàn)性時(shí)間序列預(yù)測(cè)方法。BP algorithm is often used to correct weights of neural network because number of hidden nodes, studying speed and generation ability of neural network are related to activation function.以往的BP算法調(diào)節(jié)神經(jīng)元網(wǎng)絡(luò)的權(quán)值，其網(wǎng)絡(luò)的隱層結(jié)點(diǎn)數(shù)、網(wǎng)絡(luò)學(xué)習(xí)快慢程度及網(wǎng)絡(luò)的泛化能力都與網(wǎng)絡(luò)的激勵(lì)函數(shù)有關(guān)的。neural activation function更多例句詞組短語(yǔ)短語(yǔ)complex activation function neural networks 復(fù)激活函數(shù)神經(jīng)網(wǎng)絡(luò)neural activation function更多詞組專(zhuān)業(yè)釋義計(jì)算機(jī)科學(xué)技術(shù)神經(jīng)元特征函數(shù)