perceptron
n.
感知器（模拟人类视神经控制系统的图形识别机）；
英英释义
Perceptron
In computational geometry, the perceptron is an algorithm for supervised classification of an input into one of several possible non-binary outputs. It is a type of linear classifier, i.
以上来源于:Wikipedia
双语例句
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。
权威例句
Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithmsLarge Margin Classification Using the Perceptron ...
Large margin classification using the perceptron ...
30 years of adaptive neural networks: perceptron, Madaline, and backpropagation
Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
Use of the 'Perceptron' algorithm to distinguish translational initiation sites in E. coli.
New ranking algorithms for parsing and tagging: kernels over discrete structures, and the voted perceptron
Artificial neural network (Multilayer Perceptron)—A review of applications in atmospheric sciences
Feature selection, perceptron learning, and a usability case study for text categorization
Comparison Between Geometry-Based and Gabor-Wavelets-Based Facial Expression Recognition Using Multi-Layer Perceptron
1. This paper applies BP Neural Network to classification based on feature extraction and with a linear perceptron for recognition of individual characters.
本文在特征抽取的基础上，采用BP网络进行分类，并附加线性感知器来实现单字的有效识别。
dict.cnki.net
2. For multilayer perceptron with single hidden layer, the computer simulation is done to get the number of hidden neurons and quantization bit which satisfy the design requirement.
针对单隐层感知器的硬件设计进行了计算机仿真，得到了满足设计要求的隐层神经元个数和量化比特数。
dict.cnki.net
3. 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。
lib.cqvip.com
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。
www.ibm.com
5. 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。
dict.cnki.net
6. A number of other learning methods for training Multilayer Perceptron.
用于训练多层感知器的其它学习方法；
dict.cnki.net
7. 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。
www.dictall.com
8. 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。
www.dictall.com
9. This paper presented a optimum linear multiuser detector in terms of minimum mean bit error rate, and given a approximate method of solving the detector - method of training single perceptron.
本文提出了平均误比特率最小意义下的最佳线性多用户信号检测器，并给出了求解这种最佳线性多用户信号检测器的近似方法——训练单层感知器法。
dict.cnki.net
10. Based on the single-layer perceptron model, a relation between sample size and error(classifying for) the design of fault classifier for the AFR engine is given.
针对基于单层感知器模型的发动机故障进行分类器设计，研究了故障信号的学习样本容量和分类误判率之间的关系。
dict.cnki.net
11. 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。
dict.cnki.net
12. 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。
www.ibm.com
13. 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。
dict.cnki.net
14. A new lattice polynomial perceptron (LPP) model is derived, which is very suitable for VLSI implementation. Computer simulations have been carried out and the experimental results are given.
导出了便于VLSI实现的多项式感知器的格型实现算法，进行了计算机模拟，并给出了相应的数值结果。
dict.cnki.net
15. 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。
dict.cnki.net
16. The nonlinear sub-system of the post-linear blind source separation structure is modeled by a multilayer perceptron.
后非线性盲分离系统中的非线性部分用一个多层感知器模拟。
dict.cnki.net
17. So, the NN(neural network)based combination technique is studied, which introduces the NN model with multilayer perceptron to determine model structure through simulation.
针对这一问题，开展了基于神经网络合并技术（NN）的研究。采用多层感知机神经网络模型，通过仿真实验确定了模型结构。
dict.cnki.net
18. 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；
dict.cnki.net
19. 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。
dict.cnki.net
20. 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。
dict.cnki.net
21. Stage 4 (final). Teaching the first layer, i. e. , teaching the perceptron that is in the upper layer.
步骤4 （最终步骤） “教育”第一层，即“教育”在上层的感知机。
my.fx678.com
22. 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。
www.ibm.com
23. Generally, it is difficult to determine in advance a suitable network structure when a multi layer perceptron neural networks is used for a special fault diagnosis problem.
一般对特定的基于多层感知器的故障诊断问题，很难确定神经网络的结构。
dict.cnki.net
24. 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。
www.ibm.com
25. The teaching of the neural network is divided into three stages, each stage for teaching one perceptron. At any stage, the optimized BTS must be present for perceptrons to know what it can do.
神经网络的“教育”分成三步骤，每一步骤“教育”一个感知机，在任何一步骤，这个优化了的BTS必须存在为的是“感知机们”知道它自己能做什么。
5xts.com
26. 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。
dict.cnki.net
27. For instance, a certain kind of basic neural network, the perceptron, is biased to learning only linear functions (functions with inputs that can be separated into classifications by drawing a line).
例如，某些基本的神经网络，它们的感知器只倾向于学习线形函数（通过划一条线可以把函数输入解析到分类系统中）。
article.yeeyan.org
28. For instance, a certain kind of basic neural network, the perceptron, is biased to learning only linear functions (functions with inputs that can be separated into classifications by drawing a line).
例如，某些基本的神经网络，它们的感知器只倾向于学习线形函数（通过划一条线可以把函数输入解析到分类系统中）。
article.yeeyan.org
29. Perceptron as Feature Detector. Visual Receptive Fields.
做为特征探测器的感应机。视觉的接受域。
-- 来源 -- cn1.myoops.org
30. The Problem of Credit Assignment. Perceptron Learning Rule. Convergence Theorem.? Learning by Gradient Following. Online learning.
原因探究、应机学习规则、敛定理。梯度跟随学习法、上学习。
-- 来源 -- cn1.myoops.org
perceptron
