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ghmm-0.7.0a.tar
- 隐马尔科夫模型及其在语音处理中的应用，这个是GNU提供的算法库，类unix环境，C语言，当前最新版本已经不再提供C＋＋的了。-Hidden Markov Model and the voice processing applications, this is the GNU algorithm library, unix environment category, C language, the current latest version is no longer available in C
viva
- 经网络提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置, 同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以达到简化径向-via the Internet presents a clustering algorithm based on the ant colony RBFNN. Ant use the parallel algorithm o
HMMVB6
- Hidden Markov Models, the Viterbi Algorithm, and CpG Islands (in VB6)
Bioinformatics
- 生物信息学课件 基于后缀数的算法 包括了String algortm，Hidden Markov model以及App of DNA sequence-Bioinformatics suffix number of algorithms based courseware including String algortm, Hidden Markov model and the App of DNA sequence
HMM1
- HMM是隐马氏模型，预测蛋白质的二级结构，当你输入一段未知的需要测定的蛋白质序列时，利用已经训练好的蛋白质，可以预测蛋白质的二级结构 -HMM is a hidden Markov model, the predicted secondary structure of the protein, when you enter a need to determine the unknown protein sequence, the use of has trained proteins, th
grnl1
- 本程序建立了一个基因转录调控网络，并运用了隐含因子-The program established a gene transcr iption regulatory networks and the use of a hidden factor
hmm-neural
- 使用hmm隐马尔科夫模型 进行语音识别,论文效果不错-Hmm using hidden Markov model for speech recognition
viterbiaEM
- 1.用隐马尔科夫模型（HMM）模拟肿瘤细胞整个染色体的拷贝数（CN）变异。并用viteri算法得到最可能的（CN）状态转移序列； 2.使用baum welch算法根据所给序列数据和初始状态转移矩阵，重新估算状态转移矩阵。-HMM, Hidden Markov, baulm welch, viterbi, SNP-array
face-recognition-SVD-HMM
- an efficient system for face recognition based on hidden markov models and SVD as features extractor
back_hmm
- An implementation of forward–backward algorithm. This algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables given a sequence of observations/emissions.
vbssm_distrib_1.3
- 一种隐藏因子重构遗传调控网络的贝叶斯方法，这是一个变化的贝叶斯状态空间模型的MATLAB工具箱的图形化前端 -Reconstruction of a hidden factor of genetic regulatory network Bayesian approach, This is a graphical front end for the Variational Bayesian State Space Modelling toolbox for Matlab8
NNPic
- 对图像的亮度分布曲线进行人工智能学习，并分类的多隐含层的BP神经网络(The BP neural network of the multi hidden layer of artificial intelligence learning for the brightness distribution curve of the image and the classification of the multi hidden layer)