neural network algorithm中文是什么意思

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中文翻譯
造句

類神經(jīng)網(wǎng)路演算法

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

The paper presents a modified fuzzy kohonen neural network clustering algorithm fit for image compression, which is applied to codebook generation, theoretic analysis and computer simulation results shows that it can solve some problems which exist in ordinary kohonen self-organizing feature map neural network algorithms and improve encoding quality . the paper also presents a fast correlation-side match algorithm, which is applied to codeword searching for image vector quantization and has a good result
本文提出一種適用于圖像壓縮的碼書生成算法??改進(jìn)的模糊kohonen神經(jīng)網(wǎng)絡(luò)分類算法，通過(guò)理論分析和計(jì)算機(jī)仿真，表明該算法能夠解決普通的kohonen自組織特征映射神經(jīng)網(wǎng)絡(luò)算法存在的一些問(wèn)題，且使編碼質(zhì)量有所改善。文中還提出了快速相關(guān)?邊緣匹配算法，將其應(yīng)用于圖像矢量量化中的碼字搜索過(guò)程，取得了良好的效果。
A combined neural network and genetic algorithm with solving stability safety of homogeneous slope was proposed and the finite element method is applied to analysis the progressive failure process of the slope and the maximum equilibrium theory, requests out stability safety of homogeneous slope with the smooth arc radius of difference with the difference below the level coordinate of arc peak, utilizing the neural network algorithm to establish slidng the nonlinear mapping relationship between level coordinate of arc radious and arc peak, being adapted the neural network algorithm to look for along the minimal stability safety of homogeneous slope and corresponding arc radious and arc peak
提出了求解邊坡穩(wěn)定性安全系數(shù)的神經(jīng)網(wǎng)絡(luò)與遺傳算法。該方法采用有限元分析和極限平衡理論，求出不同的滑弧半徑和不同的弧頂水平坐標(biāo)下的邊坡穩(wěn)定性安全系數(shù)，利用神經(jīng)網(wǎng)絡(luò)算法建立滑弧半徑和弧頂水平坐標(biāo)與安全系數(shù)之間的非線性映射關(guān)系，采用遺傳算法搜索邊坡的最小穩(wěn)定性安全系數(shù)及相應(yīng)的滑弧半徑和滑弧中心坐標(biāo)。
A combined neural network and genetic algorithm with solving stability safety of homogeneous slope was proposed and the finite element method is applied to analysis the progressive failure process of the slope and the maximum equilibrium theory, requests out stability safety of homogeneous slope with the smooth arc radius of difference with the difference below the level coordinate of arc peak, utilizing the neural network algorithm to establish slidng the nonlinear mapping relationship between level coordinate of arc radious and arc peak, being adapted the neural network algorithm to look for along the minimal stability safety of homogeneous slope and corresponding arc radious and arc peak
提出了求解邊坡穩(wěn)定性安全系數(shù)的神經(jīng)網(wǎng)絡(luò)與遺傳算法。該方法采用有限元分析和極限平衡理論，求出不同的滑弧半徑和不同的弧頂水平坐標(biāo)下的邊坡穩(wěn)定性安全系數(shù)，利用神經(jīng)網(wǎng)絡(luò)算法建立滑弧半徑和弧頂水平坐標(biāo)與安全系數(shù)之間的非線性映射關(guān)系，采用遺傳算法搜索邊坡的最小穩(wěn)定性安全系數(shù)及相應(yīng)的滑弧半徑和滑弧中心坐標(biāo)。
These technologies include the procedure of classification and the preprocessing of classification data and compared and evaluated criterion of classification methods . several of typical classification algorithms are compared which are decision-tree and k-nearest neighbor and neural network algorithm . then the emphasis of the paper is induced that divide the classification to eager and lazy and the research of classification algorithm in data mining is based on this divide
討論了數(shù)據(jù)挖掘中分類的基本技術(shù)，包括數(shù)據(jù)分類的過(guò)程，分類數(shù)據(jù)所需的數(shù)據(jù)預(yù)處理技術(shù)，以及分類方法的比較和評(píng)估標(biāo)準(zhǔn)；比較了幾種典型的分類算法，包括決策樹、k-最近鄰分類、神經(jīng)網(wǎng)絡(luò)算法；接著，引出本文的研究重點(diǎn)，即將分類算法劃分為急切分類和懶散分類，并基于這種劃分展開對(duì)數(shù)據(jù)挖掘分類算法的研究。
4 ) we apply genetic algorithms, neural network algorithms and multi-agent technique to production scheduling by summarizing the past research achievements . we also introduce the structure and functionality of production planning and scheduling software package acknowledged by zhejiang province's science and technique project
4、總結(jié)了前人的研究成果，將遺傳算法、神經(jīng)網(wǎng)絡(luò)算法以及多智能體技術(shù)應(yīng)用到具體的生產(chǎn)調(diào)度上，并結(jié)合課題項(xiàng)目介紹了生產(chǎn)計(jì)劃與調(diào)度智能算法軟件包的結(jié)構(gòu)和功能。
To involve this problem, neural network algorithm combined the pid algorithm format a neuron pid algorithm, and a psd algorithm of adaptive control of autopilot of submarine is applicator to control the submarine's direction . the genetic algorithm was used to search for the optimize parameter of the pid algorithm
為了解決這一問(wèn)題，本文討論了利用神經(jīng)網(wǎng)絡(luò)學(xué)習(xí)理論結(jié)合pid算法而形成的神經(jīng)元pid，神經(jīng)元自適應(yīng)psd和神經(jīng)網(wǎng)絡(luò)pid控制算法并將之應(yīng)用到了船舶的航向控制。

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