feedforward network

基本解釋

A new second order recursive learning algorithm to multilayer feedforward network is proposed.
提出了多層前向神經(jīng)網(wǎng)絡(luò)的新型二階遞推學(xué)習(xí)算法。
Neural networks have several different topologies, but the simplest is known as a feedforward network.
神經(jīng)網(wǎng)絡(luò)有幾種不同的拓?fù)浣Y(jié)構(gòu)，但是最簡單的一種是前饋網(wǎng)絡(luò)。
Comparing with time delayed feedforward network and diagonal recurrent network, output recurrent network shows its advantages in real-time fault detection system.
通過仿真，與前饋時延網(wǎng)絡(luò)與對角遞歸網(wǎng)絡(luò)的比較研究，說明了在實時故障診斷系統(tǒng)中輸出遞歸網(wǎng)絡(luò)結(jié)構(gòu)的優(yōu)越性。

feedforward nerve network model 前饋神經(jīng)網(wǎng)絡(luò)模型
Feedforward neurral network 前饋神經(jīng)網(wǎng)絡(luò)
multilayer feedforward neural network 多層前饋神經(jīng)網(wǎng)絡(luò)
Feedforward neural network 前饋神經(jīng)網(wǎng)絡(luò);前向神經(jīng)網(wǎng)絡(luò);神經(jīng)網(wǎng)路;網(wǎng)絡(luò)
stochastic feedforward neural network 隨機(jī)前饋神經(jīng)網(wǎng)絡(luò)