搜索资源列表
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- waston human visual model source code 内容概要: 人类感知模型原码！ -waston human visual model source code outline : Human Perception original model code!
megahal-9.1.1
- megahal is the conversation simulators conversing with a user in natural language. The program will exploit the fact that human beings tend to read much more meaning into what is said than is actually there MegaHAL differs from conversation simulat
particleswarmoptimizationasedbehavioral
- 一篇优秀的博士论文,题目是 A particle swarm optimization based behavioral and probabilistic fire evacuation model incorporating fire hazards and human behaviors
bioinformatics by Baxevanis 中文版
- 随着人类基因组计划的实施，通过基因组测序，蛋白质序列测定结构解析等实验，分子生物学家提供了大量的有关生物分子的原始数据，需要利用现代计算技术对这些原始数据进行收集、整理、管理以便于检索使用。而为了解释和理解这些数据，还需要对数据进行比对、分析，建立计算模型，进行仿真、预测与验证，因而出现生物信息学，它的出现，极大的促进了分子生物学的发展。-With the human genome project implementation, through genome sequencing, protei
cvfilter.rar
- 这个个程序是利用卡尔曼滤波实现人体关节点的跟踪问题，运用的是CV模型，噪声为高斯白噪声！有用的拿去看看！,This procedure is to use a Kalman filter to achieve a key point in human tracking problems, the use of the CV model, noise is Gaussian white noise! Take useful to see!
Hsp6
- HSP系统是弹性腔理论用于心血管循环系统的模拟仿真-HSP (Heart-Systemic-Pulmonary) is a mathematical model which simulates human cardiovascular system.The aim of this project is to develop a multi-purpose simulation program for human cardiovascular research.
Cellular-Neural-Network
- 细胞神经网络(CNN)是一种和人类神经网络非常相似的并行计算模型，各个邻接节点间有不同的通信。在本程序中A模型是反馈矩阵，B是控制矩阵。-Cellular neural network (CNN) is very similar to the human neural network model of parallel computation, all adjacent nodes have different communication. A model of this process is
yundongkonzhi
- 以人体步行运动为研究对象，通过构造人体几何和运动模型-Using human ambulation as the research object，by constructing human geometrical and kinetic model
walker
- WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflec
ART1
- ART网络采用竞争学习策略和自稳机制，能够对任意复杂的环境输入模式实现自稳定和自组织的识别。ART神经网络模型主要有三种结构，即ART1、ART2、ART3。ART1用于处理二进制输入的信息，ART2可用于处理二进制和模拟信息两种输入，ART3具有人类神经元生物电-化学反应机制，用于分级搜索。-ART network adopt competitive learning strategy and instability mechanism, since any complex environme
a-wavelet-transform-algorithm
- 基于人眼视觉模型的双正交小波变换算法，通过实验验证,该算法在对嵌入水印后的图像进行有损压缩、剪切、污染、添加各种噪声等处理后,提取出的水印仍表现出了较好的鲁棒性。-Human visual model based on biorthogonal wavelet transform algorithm, experiments show that the algorithm of the watermarked image lossy compression, shear, pollution,
NN_code
- 為了在語音及影像辨認獲至與人腦相似的功能，自1940年起，科學家即著手從事此方面的研究，仿造最簡單的神經元模式，開始建立最原始的類神經網路(Artificial Neural Network ANN)，歷經40年的發展，類神經的研究工作雖曾一度陷入低潮，近幾年又再度復甦，並且結合了生理，心理，電腦等科技而成為新的研究領域。-Voice and image recognition in order to be similar to the function of the human brain,
lung
- simulink model of human lung. in matlab. There are useful analogies between electrical systems and other dynamic systems as can be seen in here
HMM
- VisualBasic 的 HMM 范例 HMM模型，Viterbi，滑动窗算法唐纳 Helland（定位在人类的DNA基因的目的)-HMM、Viterbi、and Sliding Window Algorithms (for purposes of locating genes in human DNA) by Tanner Helland This project demonstrates use of a Hidden Markov Model (HMM) to define
Based-genetic-algorithm-ARMA-model
- 利用遗传算法对ARMA(p,q)模型进行优化，减少人为因素在模型定阶过程的影响，通过构建基于遗传算法的ARMA(p,q)模型，确定ARMA模型的具体阶数，并对航空发电机的状态趋势进行分析。-ARMA (p, q) model to optimize the use of genetic algorithms to reduce the impact of human factors in the process of model order, by constructing ARMA (p, q
Human-face-detection
- This file contains Human face detection based on skin color and model gaussian
Neuron-model-code
- 模拟人类实际神经网络的数学方法问世以来，人们已慢慢习惯了把这种人工神经网络直接称为神经网络。神经网络在系统辨识、模式识别、智能控制等领域有着广泛而吸引人的前景，特别在智能控制中，人们对神经网络的自学习功能尤其感兴趣，并且把神经网络这一重要特点看作是解决自动控制中控制器适应能力这个难题的关键钥匙之一。 -Since the actual neural network simulation of human mathematical methods available, it has grad
HW model
- human walking model generated in matlab
model
- 利用openGL人体模型！可以鼠标运动模型。-about openGL,Human body model
GP in power system
- 利用遗传程序设计建立电力系统的负荷模型，无需像传统方法一样预先确定具体的模型结构，它能根据输入输出数据直接演化出变量间的函数关系，并且能够一次性的同时确定函数的结构形式和参数，使得模型的生成过程趋于智能化、自动化，解决了负荷建模工作中长期困扰的模型辨识问题。(Genetic Programming(GP) is a new evolutionary algorithm based on genetic algorithm,which has self-adaptive,self-organizi