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现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆
信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统
计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于
l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。,Existing digital signal automatic modulation recognition
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简单分类器 可用于基于神经网络的字母识别，适合初学者使用。
-Simple classifier based on neural network can be used to identify the letters, suitable for beginners to use.
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用BP神经网络分类器进行分类识别的matlab源代码-Using BP Neural Network Classifier for classification and identification of the matlab source code
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Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work pre
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模式分类。包括:训练样本设计、模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类法-Pattern classification. Include: training sample design, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classificat
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本文介绍了一种新的多神经网络分类器集成方法,适合学习神经网络的学习者参考-This paper introduces a new multi-neural network classifier integration method, suitable for learners to study neural network reference
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MATLAB编写的误差反向传播（BP）神经网络简单分类器。-MATLAB prepared by error back-propagation [BP] neural network classifier easy.
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一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法,
决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Baye
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We present a video caption detection and recognition
system based on a fuzzy-clustering neural network (FCNN) classifier.
Using a novel caption-transition detection scheme we locate
both spatial and temporal positions of video captions with hig
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（压缩包里一共有5个代码）
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
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Neural Network Based Clustering
using Self Organizing Map (SOM) in Excel
Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM) - originally proposed by T.Kohonen as the metho
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图像模式识别的各种算法及其编程实现,包括模板匹配分类器、几何分类器和神经网络分类器等，可用于手写数字的识别。-A variety of image pattern recognition algorithm and its programming, including template matching classifier, geometric classifier and neural network classifiers, etc., can be used for handwritte
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A feed forward neural network code for IDL
requres idl licens and at least virtual machine.
Multiple parameters can be set for the neural network classifier
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A feed forward neural network code for IDL
requres idl licens and at least virtual machine.
Multiple parameters can be set for the neural network classifier
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基于L-M算法的BP神经网络分类器 对图像分类有较好的效果-LM algorithm based on BP neural network classifier for image classification has a good effect
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概率神经网络 分类预测 基于PNN变压器故障 诊断-Probabilistic neural network classifier prediction Transformer Fault Diagnosis Based on PNN
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神经网络分类在医疗领域乳腺肿瘤诊断中的应用-Neural network classifier in the medical field diagnosis of breast cancer
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用gabor 来做特征提取，用神经元网络来分类的人脸检测代码，配有详细的代码解释，适合初学者-use gabor for feature extraction,use neural network as a classifier to detect face in a image
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神经网络分类器，利用神经网络的学习能力，可以用神经网络实现任意精度的曲线，从而可以将曲线两边的不同对象区别开。-Neural network classifier, neural network learning ability can be used to achieve any degree of accuracy of the neural network curve to distinguish different objects can be opened on both sides
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auto associative neural network classifier for pattern classification
This function constructs a bottleneck (or autoassociative) neural network.
A neural network based dynamic forecasting model for Trend Impact Analysis
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