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模式识别分类程序，贝叶斯，神经网络分类训练程序，很不错啊-the classification procedures, Bayesian neural network classifier training procedures, and it is very responds :
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基于BP神经网络设计分类器，MATLAB源程序例子。-Design based on BP neural network classifier, MATLAB source code examples.
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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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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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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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贝叶斯分类，线性非线性分类，神经网络分类-Bayesian classification, linear non-linear classification, neural network classifier
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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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该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本。-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, which is simple and fast version of fuzzy ARTMAP.
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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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该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, it is simple and fast version of fuzzy ARTMAP
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基于MATLAB开发语言的神经网络分类器算法，源代码，改进算法，不包含数据-Based on MATLAB language development neural network classifier algorithm, the source code, the improved algorithm, does not contain data
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基于matlab的BP神经网络分类学习资料-Based on the matlab BP neural network classifier learning material
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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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基于神经网络BP算法分类器设计，对两类样本进行分类-BP algorithm based on neural network classifier design, classification of the two types of samples
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BP 神经网路 分类 ，可以解决异或的分类-BP neural network classifier, the classification can solve XOR
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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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som神经网络分类，比较实用，初学者可以用来练习，希望大家好好学习-som neural network classifier, more practical, beginners can be used to practice, we learn
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结合DCT和BP神经网络进行人脸识别。先利用DCT提取特征，然后利用BP神经网络分类，在ORL人脸库上测试效果不错。-The combination of DCT and BP neural network for face recognition. First DCT Feature Extraction, and then use the BP neural network classifier, a good test results on the ORL face database.
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用于模式识别及人工智能方面的理论工具书，书中介绍了一些典型的特征提取方案及模式分类算法，以及各种神经网络分类器的训练等。-Theoretical tool for pattern recognition and artificial intelligence book, the book describes the typical feature extraction scheme and pattern classification algorithms, as well as a varie
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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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