neural network algorithm中文是什么意思

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中文翻译
造句

类神经网路演算法

neural network 【计算机】模拟脑神经元网络〔一种模拟人脑神经细胞的电脑系统〕。
alternating projection neural network 交替投影神经网络
ann artificial neural network 人工神经网络
articificial neural network 类神经网络
artificial neural network 类神经网路; 人工神经网络
artificial neural network (ann) 类神经网络
artificial neural network system 人工神经元网络系统
biological neural network 神经网络
chaotic neural network 混沌神经网络
cnn cellular neural network 蜂窝神经网络
cnn computational neural network 计算的神经中枢网
connectionist neural network 连接机制神经网络
european neural network society 欧洲神经网络学会; 欧洲神经元网络
feed-forward neural network 反向传输神经网络
fnn fuzzy neural network 模糊神经网络
fuzzy neural network 模糊神经网络
fuzzy-neural network 模糊神经网络
higher order neural network 高阶神经网络
hnn hybrid neural network 混合神经网络
hopfield neural network 霍普菲尔德神经网络
ieee neural network council ieee神经网络委员会
japanese neural network society 日本神经网络协会
knowledge and neural network 知识和神经网络
mp neural network mp神经网络
multilayer neural network 多层神经网络

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例句与用法

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
该硬件系统最大限度地吸收了simd和mimd两种并行结构的优点，既可以用于实现并型神经网络算法，又可以用于实现并串型神经网络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
该硬件系统最大限度地吸收了simd和mimd两种并行结构的优点，既可以用于实现并型神经网络算法，又可以用于实现并串型神经网络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世纪80年代后发展起来的诸如禁忌搜索、模拟退火、遗传算法和人工神经网络算法等被统称为现代优化算法，主要用于解决npc类问题。
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
讨论了汽车的特征向量的分类及提取办法，介绍了特征提取办法的原理本文第三部分讨论了神经网络分类器的设计鉴于汽车识别问题的特性，充分利用神经网络的并行分布处理的特点，将神经网络算法用于汽车识别。
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
基于大量有关软件基本特征的实验数据，研究采用神经网络建立计算模型的理论、方法和技术上的问题，建立了一系列有关算法，使模型具有知识发现和进化能力，将软件的量化指标映射到软件质量要素，以实现具有软件工具支持的软件质量评价。
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
提出了一种基于bp算法的正弦基函数神经网络模型及算法的收敛条件，研究了该神经网络算法与fir线性相位滤波器幅频特性的关系，给出了高阶双通带滤波器的优化设计实例。
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
本文首先介绍了自动舵的发展和神经网络组成及功能，并利用matlab6.1语言构造一个船舶运动控制器的开发环境，然后在此环境中研究了神经网络控制算法和遗传算法在船舶航向自动舵上的应用。
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
本论文的研究内容集中在神经网络算法研究和神经网络在控制领域中的若干应用。神经网络可以认为是一种基本不依赖模型的数学工具，它比较适用于那些具有不确定性或高度非线性的对象，具有较强的适应和学习功能，是人工智能的一个重要的分支领域。
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
摘要提出了一种基于bp算法的正弦基函数神经网络模型及算法的收敛条件，研究了该神经网络算法与fir线性相位滤波器幅频特性的关系，给出了高阶双通带滤波器的优化设计实例。

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Last modified time:Sat, 16 Aug 2025 00:29:56 GMT