perceptron
英[pə'septrɒn]
美[pər'septrɑːn]
- n. 视感控器；感知器
双语例句
- 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。
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- 2. The perceptron can only solve linearly separable problems.
- 感知机只能解决线性可分问题。
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- 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。
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- 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；
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- 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。
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- 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！
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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）。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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。
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- 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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