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详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This
article presents a family of probabilistic lo
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This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data
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机器人人工智能的路径规划的发展和方向概述，让学生理解以及matlab仿真。-Artificial intelligence robot path planning overview of the development and direction, so that students understand and matlab simulation.
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In many professions, you need programming skills. This book introduces you to a program called
Matlab, which is one of the most popular choices for quantitative analysis in fields such as engineering,
statistics, economics/finance, and artificial
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MIT人工智能实验室的目标识别的源码,对于初学matlab的同学会有帮助，基于SVPWM的三电平逆变的matlab仿真。- MIT Artificial Intelligence Laboratory identification of the target source, Matlab for beginner students will help, Based on SVPWM three-level inverter matlab simulation.
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包括随机梯度算法，相对梯度算法，MIT人工智能实验室的目标识别的源码,Matlab实现界面友好。- Including stochastic gradient algorithm, the relative gradient algorithm, MIT Artificial Intelligence Laboratory identification of the target source, Matlab to achieve user-friendly.
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MIT人工智能实验室的目标识别的源码,cordic算法的matlab仿真，music高阶谱分析算法。- MIT Artificial Intelligence Laboratory identification of the target source, cordic matlab simulation algorithm, music higher order spectral analysis algorithm.
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内含心电信号数据及运用MATLAB写的源代码，Matlab实现界面友好，MIT人工智能实验室的目标识别的源码。- ECG data and includes source code written in MATLAB, Matlab to achieve user-friendly, MIT Artificial Intelligence Laboratory identification of the target source.
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MIT人工智能实验室的目标识别的源码,给出接收信号眼图及系统仿真误码率，cordic算法的matlab仿真。- MIT Artificial Intelligence Laboratory identification of the target source, The received signal is given eye and BER simulation systems, cordic matlab simulation algorithm.
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MIT人工智能实验室的目标识别的源码,经典的灰度共生矩阵纹理计算方法，matlab实现了五类灰色关联度模型的计算。- MIT Artificial Intelligence Laboratory identification of the target source, Classic GLCM texture calculation method, matlab implements five gray correlation degree computing model.
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用于刚刚学习人工智能算法，神经网络的初级学者，有助于了解(A junior scholar who has just learned artificial intelligence algorithms, neural networks, helps to understand)
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