partially connected network

基本解釋

Grouping nodes into groups dynamically, a group-based routing scheme for the partially connected network was introduced.
通過對網(wǎng)絡(luò)節(jié)點進行組劃分，提出了一種適用于部分連接網(wǎng)絡(luò)的路由機制。
The structure of a partially connected feed forward neural network and the training algorithm based on the recursive prediction error are constructed.
構(gòu)造了局部連接的前饋神經(jīng)網(wǎng)絡(luò)的結(jié)構(gòu)和基于遞推預(yù)報誤差的網(wǎng)絡(luò)訓練算法；
Based on this argument, we design a partially connected higher-order network to compare the first-order one with that of almost the same number of connections.
基于此觀點，我們設(shè)計了一個稀疏連接的高階網(wǎng)絡(luò)和另一個具有相同數(shù)目連接權(quán)的一階神經(jīng)網(wǎng)絡(luò)，并把它們應(yīng)用于太陽黑子序列進行逼近和預(yù)測。