hide layer

基本解釋

The network contains adjusted algorithm of the weight between output and hide layer, and between input and hide layer.
包括輸出層與隱含層、輸入層與隱含層間權(quán)的調(diào)整算法。
There are 3 layers in multi-layer front neural network, there are 10 nodes in hide layer, and is 1 node in the output layer.
該神經(jīng)網(wǎng)絡(luò)爲(wèi)3層前曏網(wǎng)絡(luò)，其隱含層神經(jīng)元數(shù)爲(wèi)10個，輸出層神經(jīng)元數(shù)1個。
First, both input function of network and weight function of hide layer are converted to walsh base function series, and then network is trained by coefficient of walsh base function.
對網(wǎng)絡(luò)的過程式輸入函數(shù)及時變的權(quán)函數(shù)，實施連續(xù)沃爾什變換，用變換後的數(shù)據(jù)訓(xùn)練網(wǎng)絡(luò)。