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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
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无线传感器网络中,基于ns2仿真平台,mannasim的源代码,研究ns2必不可少的-wireless sensor networks based on Probabilistic simulation platform, mannasim of source code, Marking essential research
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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.
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ldpc decode c程序
Iterative probabilistic decoding of linear block codes.Based on Pearl s Belief Propagation in Bayesian Networks.This version utilizes object to define graph nodes and LOG-LIKELIHOOD RATIOS. Much improved in terms of speed compared t
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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 Classificatio
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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.
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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
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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 netwo
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基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下-In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static
fingerprint-based techniques are comm
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ldpc再发现者的著作,值得一看，有独到之处。-Probabilistic Reasoning in Intelligent Systems- Networks of Plausible Inference
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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
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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, probabi
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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
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概率神经网络的分类预测--基于PNN的变压器故障诊断，了解神经网络在实践中的作用-Classification prediction of the probabilistic neural network- PNN-based transformer fault diagnosis, understanding the role of neural networks in practice
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Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference"
This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm.
Introduction:
Bayesian networks
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Seminar on Probabilistic Neural Networks
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神经网络综合应用 主要有BP神经网络的应用、PID神经网络的控制、遗传算法优化神经网络、模糊神经网络、概率神经网络-Neural network integrated applications are mainly controlled BP neural network applications, PID neural networks, genetic algorithm optimization of neural networks, fuzzy neural network, proba
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In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
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PROBABILISTIC MODELING and BAYESIAN NETWORKS FOR AUTOMATIC SPEECH RECOGNITION
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卫星通信网络具有全球覆盖和固有的广播能力。为终端用户提供广播数据的解决方案。(Satellite communication networks have advantages of global coverage and inherent broadcast capabilityh and offer a solution for providing broadband access to end users.)
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