搜索资源列表
accord-hmm-source
- Hidden Markov Models in C#-Introduction Hidden Markov Models were first described in a series of statistical papers by Leonard E. Baum and other authors in the second half of the 1960s. One of the first applications of
bat_algorithm2.m
- 蝙蝠算法是一种新的生物进化算法，于2009年提出，可应用于函数求极值和系统参数优化中。-Bat algorithm is a new biological evolution algorithm, which can be applied to the function of the optimization of the function and the system parameters in 2009.
The-Visualization-Handbook
- The Visualization Handbook 可视化领域的权威图书-The field of visualization is focused on creating images that convey salient information about underlying data and processes. In the past three decades, the field has seen un
GA
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。-Genetic Algorithm (Genetic Algorithm) is a simulation of Darwinian natural selection and genetic mechanism of biological evolution of compu
CNN
- 卷积神经网络是一种特殊的深层的神经网络模型，它的特殊性体现在两个方面，一方面它的神经元间的连接是非全连接的， 另一方面同一层中某些神经元之间的连接的权重是共享的（即相同的）。它的非全连接和权值共享的网络结构使之更类似于生物 神经网络，降低了网络模型的复杂度（对于很难学习的深层结构来说，这是非常重要的），减少了权值的数量。-Convolution neural network is a kind of special deep neura
SpectrumMatch
- Spectral matching, for the biological spectrum and the in the sample spectra between the KNN match-Spectral matching, for the biological spectrum and the in the sample spectra between the KNN match
BP
- 人工神经网络用来建立非直线性模型，用生物的角度来诠释变量之间的关系-Artificial neural network is used to establish a non-linear model, biological perspectives to explain the relationship between variables
Face-recognition
- 人脸识别，是基于人的脸部特征信息进行身份识别的一种生物识别技术。用摄像机或摄像头采集含有人脸的图像或视频流，并自动在图像中检测和跟踪人脸，进而对检测到的人脸进行脸部的一系列相关技术，通常也叫做人像识别、面部识别-Face recognition is based on the person' s facial features information of a biological identification technolog
mianbufenge
- 面部识别又称人脸识别、面像识别、面容识别等等，面部识别使用通用的摄像机作为识别信息获取装置。以非接触的方式获取识别对象的面部图像，计算机系统在获取图像后与数据库图像进行比对后完成识别过程。面部识别是基于生物特征的识别方式 ，与指纹识别等传统的识别方式相比，具有实时、准确、高精度、易于使用、稳定性高、难仿冒、性价比高和非侵扰等特性，较容易被用户接受。-Face recognition is also called face recogni
sampleEntropy
- 样本熵是时间序列复杂度的一种度量，在分析生物信号序列的复杂度分析中已经获得成功应用-Sample entropy is a measure of time series complexity and has been successfully applied in the analysis of the complexity of biological signal sequences.
ga
- 遗传算法借鉴了达尔文的进化论和孟德尔的生物遗传学说，模拟大自然界生物进化 机制，是一种高效、并行、全局搜索的优化方法。它能够在搜索过程中自动获取和积累 有关搜索空间的知识，并自适应控制搜索过程以求得最优解。-Genetic algorithm draws on Darwin s theory of evolution and Mendel s biological genetics, simulation of the natu
HH_model_rate
- 生物神经元的HH模型，可以模仿实际的神经元-HH models of biological neurons, can mimic the real neurons
GRAAL
- 生物蛋白质交互网络匹配的典型算法之一，匹配的结果可以找到不同源生物蛋白质网络之间的联系。-One of the typical algorithms for biological protein interaction network matching, which can find out the relationship between different sources of biological protein networks
DE
- 差分进化算法是一种新兴的进化计算技术它是由Storn等人于1995年提出的，和其它演化算法一样，DE是一种模拟生物进化的随机模型，通过反复迭代，使得那些适应环境的个体被保存了下来。-Differential evolution algorithm is a new evolutionary computation technique which is proposed by Storn et al in 1995, like other
ANN
- 人工神经网络(ANN)，简称神经网络，是一种模仿生物神经网络的结构和功能的数学模型或计算模型。将它在R语言中的两种格式应用于案例。-Artificial neural network (ANN), or neural network, is a mathematical model or a computational model that imitates the structure and function of biologica
tsp
- 模拟智能生物算法，模拟智能人工算法，生物集群算法-Simulation algorithm intelligent creatures, simulate artificial intelligence algorithms, biological cluster algorithm
biogenesis
- 一个开源的生物进化的游戏，本人进行了简单的中文翻译-A source of biological evolution of the game, I had a simple Chinese translation
Genetic-algorithm
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。-The genetic algorithm (Genetic Algorithm) is a computational model of biological evolution process of natural selection and genetic mechani
optimalPID
- Genetic algorithms are computer based search techniques patterned after the genetic mechanism of biological organisms Their capability to find high performance areas in large domains makes them ideal choice for fun
PID_Controller_Matlab_Code
- Genetic algorithms are computer based search techniques patterned after the genetic mechanism of biological organisms Their capability to find high performance areas in large domains makes them ideal choice for fun