multilayer neural network造句
例句與造句
- Present the models , algorithms and the existing problems of the back propagation ( bp ) network , a typical multilayer neural network . introduce the genetic algorithm to train neural networks in order to improve the learning efficiency . 2
介紹了典型多層前向網(wǎng)絡(luò)? ? bp網(wǎng)絡(luò)的模型、算法以及存在的問題，充分考慮了遺傳算法大范圍尋優(yōu)的特點(diǎn)，引入了遺傳算法作為神經(jīng)網(wǎng)絡(luò)的學(xué)習(xí)方法，自動設(shè)計(jì)和訓(xùn)練，提高學(xué)習(xí)效率，快速達(dá)到最優(yōu)解。 - The bp algorithm is kind of algorithm which is in use widely in multilayer neural network , because the bp algorithm is a kind of gradient descended searching algorithm in essence , it has weaknesses such as inefficient , slow convergent speed and easy getting into local minimum , insurable to find global extreme value point for multi - modal and non - differential function in larger searching zone , which restrict neural network ’ s application in all fields . so from the principle , analysis the reasons of bp algorithm to be dropped in local minimization and propose a global optima strategy . the global optima strategy is discussed from two aspects , one of improved strategy based on model , and another based on algorithm
Bp算法是多層前向神經(jīng)網(wǎng)絡(luò)中應(yīng)用最為廣泛的一種算法，但是由于bp算法實(shí)質(zhì)上是一種基于梯度下降的搜索算法，因此它存在著算法效率較低、收斂速度慢、易于陷入局部極小值等現(xiàn)狀；對于較大的搜索空間、多峰值和不可微函數(shù)常常不能搜索到全局極小點(diǎn)，這些制約了bp網(wǎng)絡(luò)在各個領(lǐng)域中的應(yīng)用，本文從bp網(wǎng)絡(luò)的工作原理出發(fā)，分析產(chǎn)生局部極小的原因，提出了對bp網(wǎng)絡(luò)全局優(yōu)化的改進(jìn)策略。 - It's difficult to find multilayer neural network in a sentence. 用multilayer neural network造句挺難的