Search - Neural Network Classifier

Search - Neural Network Classifier - List

[AI-NN-PR] pattern-recognize DL : 0: 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 :
Update : 2025-02-17 Size : 3.58mb Publisher : 杨宁
[AI-NN-PR] som_ DL : 0: som 神经网络分类小例（将八组4维数据聚类）-som neural network classifier in small cases (eight groups will be 4-dimensional data clustering)
Update : 2025-02-17 Size : 1kb Publisher : 姜波
[AI-NN-PR] bsb DL : 0: 盒中脑（bsb）神经网络模型首先由Anderson等人于1977年提出，Golden等人对该模型进行了深入的研究。可用作自联想最邻分类器，并可存储任何模拟向量模式。 -Brain box (bsb) neural network model first considered by Anderson and others in 1977 and raised, Golden and others in the model of an in-depth research. Since most neighborhood association can be used as a classifier, and can store any simulated vector mode.
Update : 2025-02-17 Size : 1kb Publisher : wangli
[matlab] PerceptronAlgorithm DL : 0: 感知器是神经网络里面的一个重要分类器，本例子采用matlab实现单个神经元感知器，分类效果较好~-Perceptron neural network which is an important classifier, using the example of the realization of a single neuron matlab perceptron, classification better ~
Update : 2025-02-17 Size : 2kb Publisher : junrren
[Windows Develop] belief_NN DL : 0: A neural network classifier based on Dempster-Shafer theory
Update : 2025-02-17 Size : 5kb Publisher : nusrf
[Special Effects] invariantMomentShapeDetection DL : 0: 根据：基于不变矩特征和神经网络的图像模式模糊分类论文在matlab上做的实验，有7个不变矩生成和神经网络分类的代码，还要论文原文-According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment, there are seven moment invariants and neural network classifier to generate the code, but also the original papers
Update : 2025-02-17 Size : 143kb Publisher : wanxl_xjtu
[Program doc] sasdw DL : 0: 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 methods are mostly applied only to memoryless signals, such as PSK, ASK, FSK signals. Will have a memory signal (MSK signal) and non-memory signal into consideration, an improved digital signal automatic identification method. This method is the use of the instantaneous signal statistics as a characteristic parameter, the use of multi-layer neural network as classifier. Computer simulation shows that: When the noise using Gaussian white noise, and signal to noise ratio greater than l5 dB, the recognition rate is higher than 96 when the signal to noise ratio not less than l0 dB, the recognition rate of not less than 90.
Update : 2025-02-17 Size : 181kb Publisher : happyuan
[AI-NN-PR] Bpn1ha DL : 0: 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
Update : 2025-02-17 Size : 1kb Publisher : 张恒
[SCM] SemanticAndaptationofNeuralNetwork DL : 0: 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 presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
Update : 2025-02-17 Size : 812kb Publisher : 焦亚民
[Graph Recognize] Classification DL : 0: 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 classification
Update : 2025-02-17 Size : 505kb Publisher : yutao
[AI-NN-PR] BPFenhleiqi DL : 0: 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
Update : 2025-02-17 Size : 31kb Publisher : yangxinli
[Graph Recognize] classify DL : 0: 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.
Update : 2025-02-17 Size : 52kb Publisher : 李敏
[matlab] BPPatternRecognition DL : 0: 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.
Update : 2025-02-17 Size : 6kb Publisher : Anlaen Liang
[WEB Code] Aspatial-temporalapproachforvideocaptiondate DL : 0: 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 high precision and efficiency. Then employing several new character segmentation and binarization techniques, we improve the Chinese video-caption recognition accuracy from 13 to 86 on a set of news video captions. As the first attempt on Chinese video-caption recognition, our experiment results are very encouraging.-A spatial-temporal approach for video caption date
Update : 2025-02-17 Size : 456kb Publisher : 段军伟
[Graph program] NNclust DL : 0: 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 method for clustering. * Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.) Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool. If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel. -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 method for clustering. * Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.) Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool. If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel.
Update : 2025-02-17 Size : 209kb Publisher : Jessie
[Mathimatics-Numerical algorithms] g DL : 0: 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
Update : 2025-02-17 Size : 178kb Publisher : sds
[AI-NN-PR] PNNpredict19 DL : 0: 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
Update : 2025-02-17 Size : 2kb Publisher : guanyouyuan
[AI-NN-PR] bp DL : 0: 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
Update : 2025-02-17 Size : 90kb Publisher : 田震
[Software Engineering] Neural-network-classifier DL : 0: 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 of the curve.
Update : 2025-02-17 Size : 850kb Publisher : 沈志伟
[AI-NN-PR] Associative-neural-network DL : 0: 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
Update : 2025-02-17 Size : 41kb Publisher : Sina

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