Search - probabilistic neural networks

Search - probabilistic neural networks - List

[Voice Compress] newpnn[1] DL : 0: 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.
Update : 2008-10-13 Size : 6.99kb Publisher : 姜正茂
[Other resource] DNAClassification DL : 0: DNA分类，包含三中模式识别经典算法的实现：K紧邻，BP神经网络，概率神经网络。-DNA classification, which includes three classic pattern recognition algorithm to achieve : K borders, BP neural networks, probabilistic neural network.
Update : 2008-10-13 Size : 62.91kb Publisher : 郭瑞杰
[AI-NN-PR] DNAClassification DL : 0: DNA分类，包含三中模式识别经典算法的实现：K紧邻，BP神经网络，概率神经网络。-DNA classification, which includes three classic pattern recognition algorithm to achieve : K borders, BP neural networks, probabilistic neural network.
Update : 2025-03-07 Size : 188kb Publisher : 郭瑞杰
[Voice Compress] newpnn[1] DL : 0: 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.
Update : 2025-03-07 Size : 7kb Publisher : 姜正茂
[AI-NN-PR] pnnstock DL : 1: 用概率神经网络预测股市的方向变化.对研究神经网络在金融市场上的应用很有帮助。-Using probabilistic neural network prediction of the direction of changes in the stock market. The study of neural networks in the financial market applications helpful.
Update : 2025-03-07 Size : 118kb Publisher : zhbruce
[Industry research] Gaussian_Mixture_Models_and_Probabilistic_Decisio DL : 0: very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document -very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification- A Comparative Study document
Update : 2025-03-07 Size : 281kb Publisher : B
[AI-NN-PR] algorithms DL : 0: 各种算法的集合，包括组合算法，神经网络，概率算法等。-A collection of various algorithms, including combinatorial algorithms, neural networks, probabilistic algorithms.
Update : 2025-03-07 Size : 1.87mb Publisher : 艾好风
[Other] ShipIdentification DL : 0: Ship Identification Using Probabilistic Neural Networks
Update : 2025-03-07 Size : 309kb Publisher : Alex
[Industry research] Probabilistic-Neural-Networks DL : 0: 论文Probabilistic Neural Networks及其翻译。计算机课程-专业英语的论文翻译-Papers Probabilistic Neural Networks and its translation. Computer courses- English translation of papers
Update : 2025-03-07 Size : 1.63mb Publisher : huihui
[matlab] Ten_Commonly_Algorithm_for_MATLAB DL : 0: 超过10种MATLAB常用算法：Floyd算法，动态规划,分治算法,概率算法,模拟退火算法,神经网络,搜索算法,贪婪算法,遗传算法,组合算法,-Over 10 types of commonly used MATLAB algorithms: Floyd algorithm, dynamic programming, divide and conquer algorithms, probabilistic algorithms, simulated annealing, neural networks, search algorithms, greedy algorithm, genetic algorithm, combinatorial algorithms, etc.
Update : 2025-03-07 Size : 2.56mb Publisher : ZHANGAIQING
[AI-NN-PR] 30-case-studies DL : 0: MATLAB神经网络30个案例分析__读者调用案例的时候，只要把案例中的数据换成自己需要处理的数据，即可实现自己想要的网络。该书共有30个MATLAB神经网络的案例(含可运行程序），包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群）、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-30 case studies of the MATLAB Neural Network __ readers call the case, as long as the data in the case replaced by the data they need to be addressed, you can achieve your desired network. A total of 30 MATLAB neural network case (including running the program) in the book, including BP, RBF, SVM, the SOM, Hopfield, on LVQ, Elman, wavelet neural network also contains the PSO (Particle Swarm), gray neural network, fuzzy networks, probabilistic neural networks, genetic algorithms optimization.
Update : 2025-03-07 Size : 10.78mb Publisher : liuwei
[Algorithm] top-ten-algorithms-of-mathematical DL : 0: 自己在各个论坛上搜集的十大算法，Dijkstra算法，Floyd算法，动态规划，分治算法，概率算法，灰色预测，聚类算法，蒙特卡洛，模拟退火算法，神经网络等等，附有算法的原理，部分含有相关的程序源代码。-In various forums to collect the ten algorithms, Dijkstra algorithm, the Floyd algorithm, dynamic programming, divide and conquer algorithms, probabilistic algorithms, gray prediction, clustering algorithms, Monte Carlo, simulated annealing, neural networks, etc., accompanied by the algorithmthe principle, in part contain the source code.
Update : 2025-03-07 Size : 9.14mb Publisher : 黄绍广
[Windows Develop] uRBPPNNNs DL : 0: 运用RBPNN径向基概率神经网络的一个源码实实例，通过该源码实例能对RBFNN有个清晰认识 -Radial basis probabilistic neural networks use RBPNN real instance of a source, the source instance have a clear understanding on RBFNN
Update : 2025-03-07 Size : 5kb Publisher : zzhp2010
[Other] Analysis-of-MATLAB-neural-network DL : 0: 本书共有30个MATLAB神经网络的案例,包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络,还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-The book consists of 30 MATLAB neural network case (including program can be run), including BP, RBF, SVM, SOM, Hopfield, LVQ, Elman, wavelet neural networks, etc. also contains the PSO (PSO), gray neural networks, fuzzy networks, probabilistic neural networks, genetic algorithm optimization and so on.
Update : 2025-03-07 Size : 27.43mb Publisher : 万二
[File Format] Probabilistic-Neural-Networks DL : 0: Seminar on Probabilistic Neural Networks
Update : 2025-03-07 Size : 1.08mb Publisher : LALIT PATIL
[Windows Develop] Binary-Genetic-Algorithm-Feature-Selection-(2).zi DL : 0: This submission contains (1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks. (2) MATLAB code to do Feature Selection Using Genetic Algorithm. NB: (i) This code is short BUT it works incredibly well since we employed GA Toolbox. (ii) You can run this code directly on your computer since the dataset herein is available in MATLAB software. (iii) Please do cite my publication to give credit to me (if you use this code). The citation is as follows: BABATUNDE Oluleye, ARMSTRONG Leisa J, LENG Jinsong and DIEPEVEEN Dean (2014). Zernike Moments and Genetic Algorithm: Tutorial and Application. British Journal of Mathematics & Computer Science. 4(15):2217-2236. Or BABATUNDE, Oluleye and ARMSTRONG, Leisa and LENG, Jinsong and DIEPEVEEN (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering: 5(4) 889 905.-This submission contains (1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks. (2) MATLAB code to do Feature Selection Using Genetic Algorithm. NB: (i) This code is short BUT it works incredibly well since we employed GA Toolbox. (ii) You can run this code directly on your computer since the dataset herein is available in MATLAB software. (iii) Please do cite my publication to give credit to me (if you use this code). The citation is as follows: BABATUNDE Oluleye, ARMSTRONG Leisa J, LENG Jinsong and DIEPEVEEN Dean (2014). Zernike Moments and Genetic Algorithm: Tutorial and Application. British Journal of Mathematics & Computer Science. 4(15):2217-2236. Or BABATUNDE, Oluleye and ARMSTRONG, Leisa and LENG, Jinsong and DIEPEVEEN (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering: 5(4) 889 905.
Update : 2025-03-07 Size : 1.37mb Publisher : abdalla
[J2ME] Code DL : 0: 基于概率神经网络的手写体数字识别，人工智能方面的应用-Handwritten numeral recognition based on probabilistic neural networks, artificial intelligence applications
Update : 2025-03-07 Size : 278kb Publisher : huwengao
[Other] fenleiyuce DL : 0: matlab关于概率神经网络的分类预测应用程序(Matlab classification prediction applications on Probabilistic Neural Networks)
Update : 2025-03-07 Size : 15kb Publisher : 海阔天空1
[AI-NN-PR] 概率神经网络的分类预测-基于PNN的变压器故障诊断 DL : 1: 概率神经网络的分类预测--基于PNN的变压器故障诊断，含有源程序和数据(Classification Prediction of Probabilistic Neural Networks--Based on PNN Transformer Fault Diagnosis)
Update : 2025-03-07 Size : 16kb Publisher : 潇潇飒飒
[AI-NN-PR] 85190844wedgelet DL : 0: 小波等神经网络,还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。(wavelet neural networks, etc. also contains the PSO (PSO), gray neural networks, fuzzy networks, probabilistic neural networks, genetic algorithm optimization and so on.)
Update : 2019-09-30 Size : 5.13mb Publisher : c111111111

« 12 »