neural network training中文是什么意思

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中文翻譯
造句

神經(jīng)網(wǎng)絡(luò)訓(xùn)練

neural network 【計(jì)算機(jī)】模擬腦神經(jīng)元網(wǎng)絡(luò)〔一種模擬人腦神經(jīng)細(xì)胞的電腦系統(tǒng)〕。
alternating projection neural network 交替投影神經(jīng)網(wǎng)絡(luò)
ann artificial neural network 人工神經(jīng)網(wǎng)絡(luò)
articificial neural network 類神經(jīng)網(wǎng)絡(luò)
artificial neural network 類神經(jīng)網(wǎng)路; 人工神經(jīng)網(wǎng)絡(luò)
artificial neural network (ann) 類神經(jīng)網(wǎng)絡(luò)
artificial neural network system 人工神經(jīng)元網(wǎng)絡(luò)系統(tǒng)
biological neural network 神經(jīng)網(wǎng)絡(luò)
chaotic neural network 混沌神經(jīng)網(wǎng)絡(luò)
cnn cellular neural network 蜂窩神經(jīng)網(wǎng)絡(luò)
cnn computational neural network 計(jì)算的神經(jīng)中樞網(wǎng)
connectionist neural network 連接機(jī)制神經(jīng)網(wǎng)絡(luò)
european neural network society 歐洲神經(jīng)網(wǎng)絡(luò)學(xué)會(huì); 歐洲神經(jīng)元網(wǎng)絡(luò)
feed-forward neural network 反向傳輸神經(jīng)網(wǎng)絡(luò)
fnn fuzzy neural network 模糊神經(jīng)網(wǎng)絡(luò)
fuzzy neural network 模糊神經(jīng)網(wǎng)絡(luò)
fuzzy-neural network 模糊神經(jīng)網(wǎng)絡(luò)
higher order neural network 高階神經(jīng)網(wǎng)絡(luò)
hnn hybrid neural network 混合神經(jīng)網(wǎng)絡(luò)
hopfield neural network 霍普菲爾德神經(jīng)網(wǎng)絡(luò)
ieee neural network council ieee神經(jīng)網(wǎng)絡(luò)委員會(huì)
japanese neural network society 日本神經(jīng)網(wǎng)絡(luò)協(xié)會(huì)
knowledge and neural network 知識(shí)和神經(jīng)網(wǎng)絡(luò)
mp neural network mp神經(jīng)網(wǎng)絡(luò)
multilayer neural network 多層神經(jīng)網(wǎng)絡(luò)

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例句與用法

neural network training algorithm based on particle swarm optimization
神經(jīng)網(wǎng)絡(luò)基于粒子群優(yōu)化的學(xué)習(xí)算法研究
2 . standard samples that are needed for neural network training are made
2.制作神經(jīng)網(wǎng)絡(luò)訓(xùn)練所需的標(biāo)準(zhǔn)樣本。
neural network training for system identification using a least square method
神經(jīng)網(wǎng)絡(luò)用于系統(tǒng)辨識(shí)的一種最小二乘法
neural network trained with particle swarm algorithm and its application to nonlinear system identification
粒子群神經(jīng)網(wǎng)絡(luò)及其在非線性系統(tǒng)辨識(shí)中的應(yīng)用
The neural network training algorithm is improved, which is based on instantaneous optimal control method, taking into consideration of the energy of earthquake
摘要改進(jìn)一種基于瞬時(shí)最優(yōu)控制的神經(jīng)網(wǎng)絡(luò)訓(xùn)練算法。
The application of hybrid algorithm which combines improved genetic algorithm and error back-propagation algorithm in artificial neural network training is studied first
首先研究了將改進(jìn)遺傳算法和誤差反向傳播(bp)算法相結(jié)合的混合算法來訓(xùn)練人工神經(jīng)網(wǎng)絡(luò)。
The advanced and efficient algorithm variable scale method for learning is used in bp neural network training . finally the control simulation results are given
在bp網(wǎng)絡(luò)的訓(xùn)練過程中，采用了自調(diào)整的學(xué)習(xí)算子以加速收斂得到較好的學(xué)習(xí)效果，最后給出了仿真結(jié)果。
Finally, in order to solve the problem of getting the sample of input / output, a neural networks training algorithm is proposed that is based on instantaneous optimal control method
針對(duì)訓(xùn)練樣本對(duì)難以獲取的問題，提出了基于瞬時(shí)最優(yōu)控制神經(jīng)網(wǎng)絡(luò)的建筑結(jié)構(gòu)主動(dòng)控制。
The fault diagnosis example shows that the difficulty of neural network training is diminished and the fault diagnosis accuracy can reach more then 99 % when faults overlaps exist
通過診斷示例表明，該方法在故障類存在重疊時(shí)，降低了神經(jīng)網(wǎng)絡(luò)的訓(xùn)練難度，故障診斷的正確率達(dá)到99%以上。

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