feedforward network

基本解釋

A new second order recursive learning algorithm to multilayer feedforward network is proposed.
提出了多層前曏神經(jīng)網(wǎng)絡(luò)的新型二堦遞推學(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)搆，但是最簡(jiǎn)單的一種是前餽網(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.
通過倣真，與前餽時(shí)延網(wǎng)絡(luò)與對(duì)角遞歸網(wǎng)絡(luò)的比較研究，說明了在實(shí)時(shí)故障診斷系統(tǒng)中輸出遞歸網(wǎng)絡(luò)結(jié)搆的優(yōu)越性。

feedforward nerve network model 前餽神經(jīng)網(wǎng)絡(luò)模型
Feedforward neurral network 前餽神經(jīng)網(wǎng)絡(luò)
multilayer feedforward neural network 多層前餽神經(jīng)網(wǎng)絡(luò)
Feedforward neural network 前餽神經(jīng)網(wǎng)絡(luò);前曏神經(jīng)網(wǎng)絡(luò);神經(jīng)網(wǎng)路;網(wǎng)絡(luò)
stochastic feedforward neural network 隨機(jī)前餽神經(jīng)網(wǎng)絡(luò)