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: 利用RBPNN径向基概率神经网络的一个例子，通过该例子可以对RBFNN有个清晰认识-use probabilistic neural network-based one example, through the examples of RBFNN a clear understanding of Platform: |
Size: 5120 |
Author: |
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Description: 概率神经网络翻译资料,较为详细的解说了PNN网络的特点和网络结构以及几种优化结构-Probabilistic neural network translation information, a more detailed explanation of the PNN network characteristics and network structure, as well as optimizing the structure of several Platform: |
Size: 876544 |
Author:黄敏 |
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Description: 应用概率神经网络预测股市的方向变化
应用概率神经网络预测股市的方向变化-Application of probabilistic neural network prediction of the direction of the stock market changes in the application of probabilistic neural network prediction of the direction of changes in the stock market Platform: |
Size: 120832 |
Author:黄敏 |
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Description: 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. Platform: |
Size: 120832 |
Author:zhbruce |
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Description: PNN又称为概率神经网络,它最初由数学家Specht于1990年提出,后经Master[1995]等不断发展和完善,已成功地应用于机器学习、人工智能、自动控制等众多领域.概率神经网络比多层前馈网络的数学原理简单,且易于实现-PNN is also known as the probabilistic neural network, which was first introduced by the mathematician Specht in 1990, after the Master [1995], such as the continuous development and improvement has been successfully applied to machine learning, artificial intelligence, automatic control and many other fields. Probabilistic neural network than the multi-layer feedforward network of simple math, and are easy to achieve Platform: |
Size: 8192 |
Author:piano |
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Description: 概率神经网络算法的matlab实验程序 可用于车牌识别 文字识别等模式识别问题-Probabilistic neural network algorithm matlab experimental procedure can be used for license plate recognition to identify issues such as character recognition Platform: |
Size: 1024 |
Author:薛睿 |
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Description: Parzen概率神经网络工具箱及代码实现分类，供学习应用者参考。-Parzen Probabilistic Neural network toolbox and code to achieve the classification for the study and application in Taiwan. Platform: |
Size: 6144 |
Author:zangtianlei |
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Description: 利用基于概率的神经网络识别算法，进行手写字体的识别。-By using the neural network recognition algorithm based on probability,recognition of handwritten font. Platform: |
Size: 344064 |
Author:dong qingxian |
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Description: 基于概率神经网络的柴油机故障诊断，对象可以换，希望对大家有用，多向大家学习交流，望采纳！-Based on probabilistic neural network fault diagnosis of diesel engine, the object can change, hope useful for everyone, learn a lot you communicate, hope to adopt! Platform: |
Size: 1024 |
Author:游雄雄 |
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