Description: 基于分类树的分类，与神经网络相比算法简单，分类结果看数据大小和样本集而定。简单易行的图像处理，对于初学者非常实用。
-Classification tree based on comparison with the neural network algorithm is simple, look at the data classification and sample size may be set. Simple image processing, very useful for beginners. Platform: |
Size: 37888 |
Author:jingwang |
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Description: 基于BP神经网络的模式识别方法，基于简单易懂的特点，同时有助于深刻理解神经网络的学习训练方法。-BP neural network pattern recognition method based on the characteristics of easy to understand, while helping a deep understanding of the neural network learning and training methods. Platform: |
Size: 2048 |
Author:杨超 |
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Description: 使用BP神经元网络、ELM分类算法对实例进行分类，其中ELM的训练和预测部分是自行编写的代码。-Using BP neural network, ELM classification algorithm to classify instances, training and forecast section where ELM is self-written code. Platform: |
Size: 3072 |
Author:顾金鑫 |
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Description: In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural network we will use for the classification. We continue by testing the network in real life conditions. We conclude with a review of the methods used, and how they could be improved. Platform: |
Size: 955392 |
Author:ryma |
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Description: 4个信号理论的支持向量分类方法从内核神经网络以后22(1)49-57 2009 _nelson_-4 A signal theory approach to support vector classification the Sinc kernel Neural Networks 22 (1) 49-57 2009_nelson_nn
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Size: 91136 |
Author:fangsm |
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Description: Abstract— Identifying exceptional students for
scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limited tutoring resources. In this article, we have tried to design an intelligent system which can separate and classify student according to learning factor and performance. a system is proposed through Lvq networks methods, anfis method to separate these student on learning factor . In our proposed system, adaptive fuzzy neural network(anfis) has less error and
can be used as an effective alternative system for classifying students. -Abstract— Identifying exceptional students for
scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limited tutoring resources. In this article, we have tried to design an intelligent system which can separate and classify student according to learning factor and performance. a system is proposed through Lvq networks methods, anfis method to separate these student on learning factor . In our proposed system, adaptive fuzzy neural network(anfis) has less error and
can be used as an effective alternative system for classifying students. Platform: |
Size: 299008 |
Author:Nguyen Anh Tuan |
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Description: This project uses a neural network to determine to which species a certain iris (defined by several measurements) belongs to. Platform: |
Size: 9216 |
Author:Khalil |
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Description: 主要是通过BP神经网络的数据分类来实现语音特征信号分类-Mainly through data classification of BP neural network to realize speech characteristic signal classification Platform: |
Size: 376832 |
Author:田星 |
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Description: 三层神经网络, 主要用于回归和分类, 4个文件, 内容简单明了, 仿libSVM的API接口-3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Platform: |
Size: 18432 |
Author:李子园 |
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Description: The combination of Back Propagation Neural Network and Fuzzy Theory for Classification problem. Platform: |
Size: 17408 |
Author:Cindywu_2015 |
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Description: 一种基于BP神经网络数据分类的有效实现方法-Effective implementation of a BP neural network based data classification Platform: |
Size: 9216 |
Author:lefang |
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Description: 采用单一感知器神经元解决一个简单的分类问题:将二维平面上的四个输入矢量分为两类,其中两个矢量对应的目标值为1,另两个矢量对应的目标值为0-Single perceptron neuron solve a simple classification problem: the four input vectors are divided into two categories on the two-dimensional plane, wherein the two vectors corresponding to the target value is 1, the other two vectors corresponding to the target value of 0 Platform: |
Size: 24576 |
Author:m |
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Description: BP神经网络用于模式分类,作为入门的基础程序，可以在人脸和掌纹上实现分类识别-The BP neural network is used for pattern classification, as the basis of an introduction to the program, can realize classification on face and palmprint recognition Platform: |
Size: 4096 |
Author:刘伟 |
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