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migong
- 迷宫问题 任务：可以输入一个任意大小的迷宫数据，用非递归的方法求出一条走出迷宫的路径，并将路径输出； 要求： 在上交资料中请写明：存储结构、基本算法（可以使用程序流程图）、源程序、测试数据和结果、算法的时间复杂度、另外可以提出算法的改进方法； [问题描述] 走迷宫是实验心理学中一个古典问题。用计算机解迷宫路径的程序，就是仿照人走迷宫而设计的，也是对盲人走路的一个机械模仿。 [实现提示] 假设迷宫是一个矩形，我们把它分成许多小方格，在每个小方格上或者已筑成墙或者没有，这
hmm.zip
- 隐马尔可夫链模型和例程（包括前向、后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数运算程序）,Introduction to Hiden Markov Model and Example Codes
data-dig
- 一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法, 决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Baye
HMM_Forward_Backward
- 马尔可夫链的前向和后向算法，在隐马尔可夫模型中用于学习问题的-HMM-FORWARED-BACKWORD
Hidden-Markov-Model
- 实现了隐马尔可夫模型的前向算法、后向算法和viterbi算法。-Hidden Markov Model to achieve a forward algorithm, and after the viterbi algorithm to algorithm.
BP
- BP神经网络是一个前向网络，它利用误差反向传播算法对网络进行训练，结构简单，可塑性强。本例选择3层BP神经网络（隐层为1层）来逼近函数，单输入单输出，隐层包含7个神经元，预设精度为0.1，学习率设为0.1，循环次数为5000次，达到循环次数，或结果达到预设精度要求，结束计算。激活函数选择双曲函数，采用梯度下降法，通过神经元的输入和误差，以及权值的学习速率来计算权值的变化率。将输入提供给网络后，神经元的激活值从输入层经各中间层向输出层传播，输出层的神经元获得网络的输入相应。接下来，按照减少目标输出
aqcciuvi
- 隐马尔可夫链模型和例程（包括前向、YolJZxb后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数ziyQrUe运算程序）-Hidden Markov chain model and routines (including forward, backward YolJZxb algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
avhutdqv
- 隐马尔可夫链模型和例程（包括前向、YiDYfFw后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数BOWvzEE运算程序）-Hidden Markov chain model and routines (including forward, backward YiDYfFw algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
bpgrnnhs
- 隐马尔可夫链模型和例程（包括前向、TFpuwXI后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数pSAIzgD运算程序）-Hidden Markov chain model and routines (including forward, backward TFpuwXI algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
bqaiwqfs
- 隐马尔可夫链模型和例程（包括前向、TSQRfrv后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数PgfZsut运算程序）-Hidden Markov chain model and routines (including forward, backward TSQRfrv algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
byinhmwa
- 隐马尔可夫链模型和例程（包括前向、jASLLYg后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数saWeYvm运算程序）-Hidden Markov chain model and routines (including forward, backward jASLLYg algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
dffukpcp
- 隐马尔可夫链模型和例程（包括前向、oqyJnHa后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数qkGBAGL运算程序）-Hidden Markov chain model and routines (including forward, backward oqyJnHa algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
esdturvc
- 隐马尔可夫链模型和例程（包括前向、eujAtoO后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数ZvvRQWk运算程序）-Hidden Markov chain model and routines (including forward, backward eujAtoO algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
eteqtsxk
- 隐马尔可夫链模型和例程（包括前向、irqosuj后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数peuWbUq运算程序）-Hidden Markov chain model and routines (including forward, backward irqosuj algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
ezzynkes
- 隐马尔可夫链模型和例程（包括前向、Zhibwiq后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数syRVIBw运算程序）-Hidden Markov chain model and routines (including forward, backward Zhibwiq algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
fdkujzpi
- 隐马尔可夫链模型和例程（包括前向、OSGhQgE后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数fwJBSYA运算程序）-Hidden Markov chain model and routines (including forward, backward OSGhQgE algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
geuvuwid
- 隐马尔可夫链模型和例程（包括前向、qSoSUHD后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数XyoHJMl运算程序）-Hidden Markov chain model and routines (including forward, backward qSoSUHD algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
gnvbygbv
- 隐马尔可夫链模型和例程（包括前向、tuzOPai后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数goaoAuq运算程序）-Hidden Markov chain model and routines (including forward, backward tuzOPai algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
grwypzje
- 隐马尔可夫链模型和例程（包括前向、UVrSJhL后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数SaUiaCR运算程序）-Hidden Markov chain model and routines (including forward, backward UVrSJhL algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
hhvtdnbw
- 隐马尔可夫链模型和例程（包括前向、ZtBgHLb后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数hvaSCsb运算程序）-Hidden Markov chain model and routines (including forward, backward ZtBgHLb algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th