Description: BP神经网络的C语言实现 BP神经网络解决异或问题 canny源代码 HMM的C语言实现 isodata K-MEANS 车牌识别系统 矢量量化的C语言实现 -Neural Network C language BP neural network solution differences or problems canny source HMM C language isodata K-MEANS License Plate Recognition System Vector Quantization C Language Platform: |
Size: 795199 |
Author:liang |
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Description: 基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration. Platform: |
Size: 7168 |
Author:姜正茂 |
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Description: 难得一见的C#神经网络建模，吐血推荐，全面解决神经网络的各种问题.-rare to see a C# neural network modeling, vomiting blood recommendation, a comprehensive solution to the neural network problems. Platform: |
Size: 134144 |
Author:李力 |
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Description: BP神经网络的C语言实现 BP神经网络解决异或问题 canny源代码 HMM的C语言实现 isodata K-MEANS 车牌识别系统 矢量量化的C语言实现 -Neural Network C language BP neural network solution differences or problems canny source HMM C language isodata K-MEANS License Plate Recognition System Vector Quantization C Language Platform: |
Size: 794624 |
Author:liang |
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Description: 本文的题目是基于分形和遗传算法的人脸识别方法，对有限人群提出一种采用分形特征和遗传聚类的识别方法: 将图像分成很多小区域, 分别计算各个区域的分形特征, 以充分利用图像二维信息 同一个模式有多个样本, 通过遗传算法进行聚类以得到最优解实现不变性识别. 最后采用ORL 人脸图像库的一组图像对比了新方法、本征脸法和自联想神经网络方法, 结果表明该方法的识别率, 与本征脸法相似, 比自联想神经网络高.-The title of this article is based on fractal and genetic algorithms for face recognition method, a crowd of limited use of fractal characteristics and the identification of genetic clustering methods: the image is divided into many small regions, each region were calculated fractal characteristics, to take full advantage of two-dimensional image information with a model for a number of samples, through the genetic clustering algorithm in order to obtain the optimal solution to achieve invariant recognition. Finally, using ORL face image database of a group of image contrast of the new methods, eigenface law and auto-associative neural network methods, results show that the method of recognition rate, with the eigenface method is similar to auto-associative neural network than high. Platform: |
Size: 380928 |
Author:阳关 |
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Description: 用动态神经网络解决粘度预测的方法，文章介绍了一种用神经网络检测粘度的新方法 适合于学习神经网络的同学开阔眼界用-Dynamic neural network solution viscosity prediction method, the article presents a neural network detection of viscosity using the new method is suitable for students learning neural networks broaden their horizons by Platform: |
Size: 158720 |
Author:wang |
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Description: 基于BP神经网络识别字符.
BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题，并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类，并附加线性感知器来实现单字符的有效识别，算法简便，识别率高，可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is transformed into a nonlinear optimization problem, and through the use of iterative gradient algorithm for computing the value of a solution of the right way of learning. BP network used for classification, and additional linear perceptron to achieve an effective single-character recognition, the algorithm is simple, a high recognition rate, applicable to a wide range of high-noise environments print character recognition. Platform: |
Size: 113664 |
Author:吕寿鹏 |
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Description: Neural Network C language BP neural network solution differences or problems canny source HMM C language isodata K-MEANS License Plate Recognition System Vector Quantization C Language Platform: |
Size: 168960 |
Author:mjdkadh |
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Description: Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time series prediction, function approximation, clustering, etc.
In this article, I ll try to review some approaches for optical character recognition using artificial neural networks. The attached project is aimed as a research project, so don t try to find here a ready solution for scanned document processing.
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Size: 367616 |
Author:reyjav |
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Description: 神经网络和遗传算法的有机结合 更好的加快运算速度 寻求最优解 可以预测 可以判断 希望可以帮到你你们-Genetic algorithm and neural network, the combination of neural network and genetic algorithm is better to speed up the speed to seek the optimal solution can be predicted to judge the hope can help you thank you Platform: |
Size: 4096 |
Author:康康 |
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Description: matlab神经网络原理与实例精解的matlab源代码，包括matlab快速入门、单层感知器、线性神经网络、BP神经网络、径向基函数网络、自组织竞争神经网络、随机神经网络等各章节源码，是学习神经网络的有力助手，里面包含matlab库函数工具箱的应用，也有手算代码。-matlab neural network theory and examples of fine solution matlab source code, including matlab QuickStart, single sensor, linear neural network, BP neural network, radial basis function network, since each chapter organizing competitive neural networks, Stochastic neural network sourceIt is a powerful assistant learning neural network, which contains the library functions matlab toolbox application, there are hand count code. Platform: |
Size: 608256 |
Author:李强 |
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Description: 《matlab神经网络原理与实例精解》书籍源代码，内涵matlab基础学习以及各种matlab神经网络代码的源代码和应用案例文件，很棒。-" Matlab network principles and examples of fine nerve Solution" books source code, content based learning as well as various matlab matlab neural network source code files and application case, great. Platform: |
Size: 604160 |
Author:jack |
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Description: the effects of neural
network aided estimation in such receivers are considered. Neural
network acts as a pre-processing block to the estimator.-Orthogonal frequency division multiplexing (OFDM) has
high data rate capacity and lower Inter Symbol Interference (ISI)
and is considered as the best solution for next generation mobile
communication. Multiple Inputs and Multiple Output (MIMO)
antenna system improve reception through spatial diversity and
high end coding. Combining these two, offers high interference
mitigation in wireless receivers. In this paper, the effects of neural
network aided estimation in such receivers are considered. Neural Platform: |
Size: 344064 |
Author:wangxx |
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Description: Application of benders cut in power flow problem solving in electrical networks.
Neural network for application with wind series
Ant colony in the electrical circuit solution Platform: |
Size: 7168 |
Author:Lara Delfim
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Search - Neural Network solution