perceptron

noun

1. 感知机（模拟大脑识别事物和差异的人工网络）
   an artificial network which is intended to copy the brain's ability to recognize things and see the differences between things

1. 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。
2. 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。
3. 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。
4. 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。
5. Perceptron as Feature Detector. Visual Receptive Fields.
   做为特征探测器的感应机。视觉的接受域。
6. We conclude that the perceptron act not only as a classifier, it performs classifier with gradient feature.
   因此，单层感知机不只做单纯的分类，它能做有层次的分类。
7. Remote sensing image lossless compression based on perceptron
   基于感知器的遥感图像无损压缩编码
8. A single layer perceptron neural network with four input nodes and two output nodes is constructed for simulating the learning process of performing two2-bit values comparisons.
   本研究建立了一个单层感知机的类神经网路，此网路的输入层有四个节点输出层有两个节点，以模拟两个二位元之值的比较。
9. Binary Morphological Perceptron Model and Its Applications
   二值形态运算的感知器模型及其应用
10. Applying multilayer perceptron to software maintainability improvement
    多层感知器在提高软件可维护性上的应用
11. 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。
12. 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。
13. Perceptron and MATLAB A new integrated perceptron network and the related learning algorithm is proposed.
    感知器与MATLAB提出一种由感知器神经元组合成的综合网络模型及相应的学习算法。
14. Two linear classifiers are used in the experiment. They are Fisher Linear Discriminant ( FLD) and Perceptron.
    实验使用了两种主要的线性分类器：Fisher线性判别和感知器。
15. In this paper, the performance of MR damper is simulated based on system identification with optimal multi-layer perceptron neural networks and ARX model.
    基于系统识别理论，采用ARX模型和优化神经网络技术对磁流变阻尼器的性能进行了仿真。
16. 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。
17. Both SVM and robust perceptron obtain optimally robust classification boundaries.
    支撑向量机SVM和稳健感知器得到的都是最优分类面，都具有很强的稳健性能。
18. 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。
19. The linear pocket algorithm improves the perceptron algorithm and can deal with the linearly non-separable problems directly.
    线性口袋算法改进了线性感知器算法，能够直接处理线性不可分问题。
20. It mainly discusses artificial nerve 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RBF神经网络。
21. 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。
22. In this paper, a multilayer perceptron scheme trained with MSE criterion was proposed for the nonlinear channel equalization.
    该文采用基于多层感知器（MLP）的均方差（MSE）准则实现了一种时变信道的非线性均衡。
23. This paper proposes a robust speech recognition algorithm which is based on the Multi-Layer Perceptron.
    本文提出了一种提高不匹配环境下的语音识别性能的方法。
24. This paper introduces two simple models of neural networks. Perceptron and linear classier and the former are applied to the solution and result analysis of DNA sequence. The paper also presents an improved approach of the solution to the classification problem by means of perception model.
    介绍了神经网络的两种简单模型：感知器和线性分类器，并应用感知器模型对DNA序列分类问题进行求解和结果分析，并提出了对感知器模型求解分类问题的一种改进方法。
25. A perceptron algorithm is used in training parameters.
    系统采用感知机（Perceptron）算法进行参数训练。
26. Based on the theory of unconstrained optimization, the paper presents: the union optimization algorithm of multilayered perceptron;
    在非线性优化的理论基础上，提出了多层感知器的联合优化算法。
27. 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。
28. We propose a new algorithm for rejection based on post-probability differences and Multi-Layer Perceptron ( MLP).
    提出了一种以相邻后验概率差值为特征的多层感知人工神经网络（MLP）拒识算法。
29. The second one is a multilayer perceptron based on auto adaptive fuzzy membership functions.
    第二种基于自适应隶属度函数的多层感知器，是对前一种方法的近似。
30. Based on the result and the characteristics of EDGE control-flow speculation, perceptron is applied to implement exit predictor.
    然后，根据分析结果和EDGE指令集控制流推测特点，使用感知器实现出口预测器。