perceptron

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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an illative network for robot learning based on the improved perceptron

一种基于改进型感知器的机器人推理学习网络

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Design of rectangular waveguide terminal matched load based on multilayer perceptron neural network ( MLPNN) is presented.

讨论了多层感知器神经网络（MLPNN）在矩形波导终端匹配短负载设计中的应用。

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These algorithms utilize the perception difference of human's ear to the different frequency signal and the spectrum difference between noise and recognition objects to compensate the effects of noise with maximum likelihood criteria and linear combination or discriminative combination or multi-layer perceptron.

这些方法利用人耳对不同频率信号感知的差异，以及噪声和识别对象的频域特征差异，分别采用线性分析、判决分析、多层感知机以及子带最大似然估计对噪声影响进行补偿。

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It mainlydiscusses artificial cell and perceptron. BP network and RBF network are described in this chapter.

主要讨论人工神经元与感知器以及人工神经网络模型, 包括BP神经 网络和阳F神经网络.

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Nevertheless it cannot be 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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internet bank customer mining based on fuzzy c-means clustering and perceptron

基于模糊均值聚类和感知机的网络银行客户挖掘

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The experimental results show that the algorithm of a fuzzy perceptron with bias is finite convergent, and the convergence speed is quicker compared with the one without bias under the same experiment condition.

数值试验结果表明：在相同的试验条件下，带阈值模糊感知器算法有限收敛，并且与不带阈值的模糊感知器算法相比，收敛速度在多数情况下加快。

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Based on fuzzy information processing and multilayer perceptron, a fault diagnosis scheme of condenser is presented.

基于模糊信息处理和多层前馈感知器提出了汽轮机凝汽设备的故障诊断方案.

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Improvement of the Resolution of MUSIC Method with the Perceptron Training Algorithm

用感知机学习算法改善MUSIC测向算法的分辨率

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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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Experiments demonstrate that the MM algorithm is better in the performance of magin, classification error rate, and training speed than other training algorithms, also because of that, this paper uses the MM rule to train perceptron.

实验表明，跟其它感知器训练算法相比，MM算法在分类间隔的性质、分类错误率、训练速度等方面具有较好的性能，也基于此，本文用MM算法训练感知器。

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The bit prescription subsystem including multiple perceptron mathematics model and BP algorithm, expert designing subsystem and exercise of network of bit prescription parameter samples is emphasized on.

介绍了金刚石钻头设计专家系统中的配方设计子系统（BPFES），包括多层感知机数学模型和BP算法，专家子系统的设计，钻头配方参数样本的网络训练；

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Symbol Logic Inference System Based on Recurrent Multi-layer Perceptron Neural Networks

基于循环多层感知器神经网络的符号逻辑推理系统

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Five training pattern groups are classified using fuzzy perceptron with and without bias, respectively.

分别利用带阈值和不带阈值的模糊感知器对五组训练样本进行分类.

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Perceptron as Feature Detector. Visual Receptive Fields.

做为特徵探测器的感应机. 视觉的接受域.

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