Description: 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 : Platform: |
Size: 3755008 |
Author:杨宁 |
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Description: 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) Platform: |
Size: 1024 |
Author:姜波 |
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Description: 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. Platform: |
Size: 1024 |
Author:wangli |
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Description: 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 ~ Platform: |
Size: 2048 |
Author:junrren |
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Description: 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 Platform: |
Size: 146432 |
Author:wanxl_xjtu |
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Description: 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. Platform: |
Size: 185344 |
Author:happyuan |
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Description: 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 Platform: |
Size: 1024 |
Author:张恒 |
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Description: 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. Platform: |
Size: 831488 |
Author:焦亚民 |
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Description: 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 Platform: |
Size: 31744 |
Author:yangxinli |
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Description: 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. Platform: |
Size: 53248 |
Author:李敏 |
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Description: 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 Platform: |
Size: 466944 |
Author:段军伟 |
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Description: 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.
Platform: |
Size: 214016 |
Author:Jessie |
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Description: 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 Platform: |
Size: 182272 |
Author:sds |
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Description: 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 Platform: |
Size: 92160 |
Author:田震 |
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Description: 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. Platform: |
Size: 870400 |
Author:沈志伟 |
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Description: 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
Platform: |
Size: 41984 |
Author:Sina |
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Search - Neural Network Classifier