perceptron

英[pə'septrɒn] 美[pər'septrɑːn]

n. 视感控器；感知器

percale n.高级密纹棉布
percaline n.[纺]高级丝光色布；珀克林(常用于作衬里或书籍封面等)
perceive v.注意到；觉察到；认为；理解
percent n.百分比adv.百分之...adj.百分之...的
percentum n.百分比

1. Perceptron as Feature Detector. Visual Receptive Fields.: 做为特征探测器的感应机。视觉的接受域。

2. The perceptron can only solve linearly separable problems.: 感知机只能解决线性可分问题。

3. There are important differences from the perceptron algorithm.: 这里有一些与感知器算法相区别的重要不同点。

4. The network for retrieving wind speed is a multi-layer perceptron.: 风速的反演是基于多层感知器网络；

5. A perceptron utilizes weights in a different and perhaps more intuitive way.: 感知器以一种不同的而且可能更为直观的方式来使用权重。

6. Obviously, the perceptron isn't a complete model of human decision-making!: 显然，感知器不是一个人类决策的完整模型！

7. Multilayer perceptron networks have been widely used in many applications.: 多层前传神经网络在许多领域有着广泛的应用。

8. A method of constructing knowledge based fuzzy perceptron based on rough sets theory is proposed.: 提出了用粗糙集理论构造模糊多层感知器的方法。

9. A neural net that USES this rule is known as a perceptron, and this rule is called the perceptron learning rule.: 一个使用这个规则的神经网络称为感知器，并且这个规则被称为感知器学习规则。

10. After some research I have chosen a multilayer perceptron and standard back-propagation algorithm for training.: 经过我选择了多层感知和标准的反向传播训练算法的研究。

11. The multi-layer perceptron is introduced to charcacterize the microstrip discontinuity by describings-parameters.: 本文采用多层感知器建立了微带不连续性的神经网络模型。

12. The quintessential example of a deep learning model is the feedforward deepnetwork or multilayer perceptron (MLP).: 深度学习模型的一个典型例子是前馈深度网络，或者说多层感知器（MLP）。

13. Because liner models have some defects, I construct perceptron model and BP model on base of neural networks theory.: 考虑到线性模型的一些缺点，本文随后应用神经网络理论，分别建立感知器预警模型和BP网络预警模型。

14. Numerical experiments show that the NNKBN model has many advantages over the conventional multi-layer perceptron model.: 数值实验表明NNKBN模型在许多方面优于传统的多层感知器模型。

15. But what the example illustrates is how a perceptron can weigh up different kinds of evidence in order to make decisions.: 不过这个例子说明的是感知器如何权衡不同种类因素来做出决策的。并且一个由感知器组成的复杂网络似乎真的可以做出精准的决定。

16. Perceptron is a kind of useful neural network model and can classify the classification of the detachable linearity correctly.: 感知器是一种有用的神经网络模型，可以对线性可分的模式进行正确分类。

17. The continually optimized connecting relation is gained via perceptron and XOR function, then the optimal path graph is found.: 利用感知器异或函数获得了节点之间不断优化的连接关系，然后得到最优路径图。

18. For modeling of medical ward based on data fusion and data mining, multi - layer perceptron network and decision trees are used.: 在结合数据融合和数据挖掘的医疗监护模型的建模方面，采用多层感知器网络和决策树方法建立报警决策器的模型。

19. The sensitivity analysis approach for the hardware implementation of multilayer perceptron prior to network training is proposed.: 提出了训练前多层感知器硬件设计的灵敏度分析方法。

20. The Problem of Credit Assignment. Perceptron Learning Rule. Convergence Theorem. Learning by Gradient Following. Online learning.: 原因探究、感应机学习规则、收敛定理。梯度跟随学习法、线上学习。

21. This paper introduces a fuzzy classification model based on the proposed fuzzy kernel hyperball perceptron(FKHP) learning method.: 本文提出一种模糊核超球感知器（FKHP）学习方法，并介绍了一种基于FKHP这种学习方法的模糊分类模型。

22. The separating system consists of a multilayer perceptron (nonlinear part) followed by a linear blind deconvolution (linear part).: 分离系统由多层感知器(非线性部分)后接一个线性盲解卷过程(线性部分)组成。

23. A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.: 介绍一种用循环多层感知器神经网络实现符号逻辑推理系统的方法。

24. Of great interest, popular multilayer perceptron (MLP), radial basis function (RBF) and polynomial neural networks are the focus of the paper.: 其中，对于多层感知器网络、径向基函数网络、多项式网络尤其关注。

25. In this paper, the authors study the detection of signals in non-Gaussian noise, and employ a multilayer perceptron neural network as a detector.: 本文研究了非高斯噪声中信号的检测，采用多层感知器神经网络作为检测器。

26. The extracted initial rules and their accuracy and coverage are used to configure the fuzzy perceptron structure and initial weights for training.: 网络的结构由已经抽取的规则映射而成，初始连接权由规则的精确度和覆盖度确定。

27. It is applicable to any small vocabulary hybrid speech recognition system that combines hidden Markov model (HMM) with multi-layer perceptron (MLP).: 研究适用于隐马尔可夫模型(HMM)结合多层感知器(mlp)的小词汇量混合语音识别系统的一种简化神经网络结构。

28. For a neuro_fuzzy classifier based on the fuzzy perceptron, this paper analyses how membership function constraints affect the classification result.: 针对一类基于模糊感知器的神经模糊分类器，分析了隶属函数限制条件对分类结果的影响。

29. The perceptron training rule is based on the idea that weight modification is best determined by some fraction of the difference between target and output.: 感知器培训规则是基于这样一种思路—权系数的调整是由目标和输出的差分方程表达式决定。

30. The perceptron training rule is based on the idea that weight modification is best determined by some fraction of the difference between target and output.: 感知器培训规则是基于这样一种思路—权系数的调整是由目标和输出的差分方程表达式决定。

用作名词 (n.)

There are important differences from the perceptron algorithm.
这里有一些与感知器算法相区别的重要不同点。
Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms.
然而，现有的感知器学习演算法无法轻易的对这个函数最佳化。

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