Pattern learning with the back - propagation algorithm 利用反向傳播算法的模式學(xué)習(xí)
Moreover , the basic outline of a back - propagation algorithm runs like this 關(guān)于反向傳播算法的基本情況大致如此。
Back propagation algorithm 反傳算法
Design of on - line learning based error back propagation algorithm in simulation servo system 基于在線學(xué)習(xí)誤差反傳算法的仿真伺服系統(tǒng)設(shè)計(jì)
The back - propagation algorithm and its program of the rough neuron network are presented 本文同時(shí)給出了粗神經(jīng)網(wǎng)絡(luò)bp算法和用粗神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)上證指數(shù)的程序。
A comparison of two constraint propagation algorithms and an improved algorithm for disjunctive scheduling problem 調(diào)度問(wèn)題中兩類分離約束傳播算法的比較及一種改進(jìn)算法
The multilayer perception , trained by the back propagation algorithm , is currently the most widely used neural network Bp神經(jīng)網(wǎng)絡(luò)是目前神經(jīng)網(wǎng)絡(luò)理論發(fā)展最完善、應(yīng)用最為廣泛的網(wǎng)絡(luò)。
Finally , i realize and optimize two algorithms : apriori algorithm and back - propagation algorithm 最后,本文對(duì)數(shù)據(jù)挖掘的兩種基本算法: apriori算法和b - p算法的計(jì)算機(jī)實(shí)現(xiàn)與優(yōu)化做了探討。
With the back - propagation algorithm in hand , we can turn to our puzzle of identifying the language of source code samples 在掌握了反向傳播算法后,可以來(lái)看我們的識(shí)別源代碼樣本語(yǔ)言的難題。
Aiming at the multi replication definition , the thesis presents three optimized propagation algorithms : d - m , ils and lis 針對(duì)多重復(fù)制定義現(xiàn)象,本文提出三個(gè)最優(yōu)傳播算法: d - m 、 ils和lis 。