中英
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neural network algorithm中文是什么意思
- 中文翻譯
- 造句
- 類神經網路演算法
- neural network 【計算機】模擬腦神經元網絡〔一種模擬人腦神經細胞的電腦系統(tǒng)〕。
- alternating projection neural network 交替投影神經網絡
- ann artificial neural network 人工神經網絡
- articificial neural network 類神經網絡
- artificial neural network 類神經網路; 人工神經網絡
- artificial neural network (ann) 類神經網絡
- artificial neural network system 人工神經元網絡系統(tǒng)
- biological neural network 神經網絡
- chaotic neural network 混沌神經網絡
- cnn cellular neural network 蜂窩神經網絡
- cnn computational neural network 計算的神經中樞網
- connectionist neural network 連接機制神經網絡
- european neural network society 歐洲神經網絡學會; 歐洲神經元網絡
- feed-forward neural network 反向傳輸神經網絡
- fnn fuzzy neural network 模糊神經網絡
- fuzzy neural network 模糊神經網絡
- fuzzy-neural network 模糊神經網絡
- higher order neural network 高階神經網絡
- hnn hybrid neural network 混合神經網絡
- hopfield neural network 霍普菲爾德神經網絡
- ieee neural network council ieee神經網絡委員會
- japanese neural network society 日本神經網絡協(xié)會
- knowledge and neural network 知識和神經網絡
- mp neural network mp神經網絡
- multilayer neural network 多層神經網絡
- This hardware system absorbed simd and mimd parallel structure's merit in the maximum extent, it can be used not only to realize parallel type neural network algorithm, but also to realize parallel and serial type neural network algorithm and other parallel algorithm
該硬件系統(tǒng)最大限度地吸收了simd和mimd兩種并行結構的優(yōu)點，既可以用于實現(xiàn)并型神經網絡算法，又可以用于實現(xiàn)并串型神經網絡算法及其他并行算法。 - This hardware system absorbed simd and mimd parallel structure's merit in the maximum extent, it can be used not only to realize parallel type neural network algorithm, but also to realize parallel and serial type neural network algorithm and other parallel algorithm
該硬件系統(tǒng)最大限度地吸收了simd和mimd兩種并行結構的優(yōu)點，既可以用于實現(xiàn)并型神經網絡算法，又可以用于實現(xiàn)并串型神經網絡算法及其他并行算法。 - Since 1980s, there have been developed some modern optimal algorithms such as taboo search algorithm, simulated annealing algorithm, genetic algorithm and artificial neural networks algorithm . they have been applied to resolve npc problems, but these algorithms ca n't find the best result unconditionally
20世紀80年代后發(fā)展起來的諸如禁忌搜索、模擬退火、遺傳算法和人工神經網絡算法等被統(tǒng)稱為現(xiàn)代優(yōu)化算法，主要用于解決npc類問題。 - This paper discuss the method of the sorting and abstracting feature vector, and introduce the theory of extraction of the vehicle features . the third part of paper discusses the design of neural network group classifier, in view of speciality of vehicle recognition, neural network algorithms are applied to resolve the problem . this paper use the b ~ p algorithm as the basic recognition algorithm
討論了汽車的特征向量的分類及提取辦法，介紹了特征提取辦法的原理本文第三部分討論了神經網絡分類器的設計鑒于汽車識別問題的特性，充分利用神經網絡的并行分布處理的特點，將神經網絡算法用于汽車識別。 - By using these tools, the factors can be mapped to quality profiles, so the relationship between factors and quality characteristic can be set up to evaluate software quality . based on lots of experiment data, by using neural network algorithm, the model has the ability of knowledge discovering and evolution
基于大量有關軟件基本特征的實驗數(shù)據(jù)，研究采用神經網絡建立計算模型的理論、方法和技術上的問題，建立了一系列有關算法，使模型具有知識發(fā)現(xiàn)和進化能力，將軟件的量化指標映射到軟件質量要素，以實現(xiàn)具有軟件工具支持的軟件質量評價。 - This paper presents a model of cosine basis functions neural network based on bp algorithm, discusses the relation between the algorithm of neural network and amplitude-frequency characteristic about the linear phase fir filter, introduces the convergence condition of neural network algorithm, and studies the optimal design example about the high-order fir double-band-pass filters
提出了一種基于bp算法的正弦基函數(shù)神經網絡模型及算法的收斂條件，研究了該神經網絡算法與fir線性相位濾波器幅頻特性的關系，給出了高階雙通帶濾波器的優(yōu)化設計實例。 - First, the development of autopilot and neutral network are discussed, furthermore, the matlab6.1 is used to construct a athletic of submarine's mathematical model, this mathematical model construct a development environment of controller of submarine . sencond, in this development environment research into the neural network algorithm and genetic algorithm for the control of the autopilot
本文首先介紹了自動舵的發(fā)展和神經網絡組成及功能，并利用matlab6.1語言構造一個船舶運動控制器的開發(fā)環(huán)境，然后在此環(huán)境中研究了神經網絡控制算法和遺傳算法在船舶航向自動舵上的應用。 - This dissertation focuses on research of neural networks algorithm and applications of neural networks theory in the control field . neural networks can be thought as a kind of mathematic tool which is independent on model . neural networks have strongly adaptive and learning capability and are suitable for those objects which has uncertainty and non-linearity . neural networks theory is an important branch field of artificial intelligence
本論文的研究內容集中在神經網絡算法研究和神經網絡在控制領域中的若干應用。神經網絡可以認為是一種基本不依賴模型的數(shù)學工具，它比較適用于那些具有不確定性或高度非線性的對象，具有較強的適應和學習功能，是人工智能的一個重要的分支領域。 - This paper presents a model of cosine basis functions neural network based on bp algorithm, discusses the relation between the algorithm of neural network and amplitude-frequency characteristic about the linear phase fir filter, introduces the convergence condition of neural network algorithm, and studies the optimal design example about the high-order fir double-band-pass filters
摘要提出了一種基于bp算法的正弦基函數(shù)神經網絡模型及算法的收斂條件，研究了該神經網絡算法與fir線性相位濾波器幅頻特性的關系，給出了高階雙通帶濾波器的優(yōu)化設計實例。
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