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Matlabsmallprogram
非常好用的MATLAB程序，不下会后悔的(MATLAB is very useful procedure, we will regret over the)
- 2009-04-16 17:26:18下载
- 积分：1
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eg7-feixianxinghanshuhuiguideshixian
《MATLAB神经网络30个案例分析》中的第7个例子，案例7 RBF网络的回归-非线性函数回归的实现。希望对大家有一定的帮助！
(The MATLAB neural network analysis of 30 cases of example, 7 cases of RBF network return- the return of nonlinear function implementation. Hope to have certain help to everybody!
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- 2013-09-20 16:02:18下载
- 积分：1
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ElmanShenJingWangluoYuCe
基于Elman神经网络的电力负荷预测模型研究(Research on power load forecasting model based on Elman neural network)
- 2015-01-08 11:04:37下载
- 积分：1
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NumPy-Beginners-Guide
NumPy Beginner’s Guide - Second Edition的源码（《Python数据分析基础教程，munpy学习指南（第二版）》），有助于学习numpy。(NumPy Beginner s Guide- Second Edition source code ( Python data analysis based tutorial, munpy Study Guide (Second Edition) ), contribute to learning numpy.)
- 2015-04-19 20:01:48下载
- 积分：1
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DISTRA
说明： matlab代码功能实现图像的距离变化，已经通过调试成功！(matlab code image of the distance function changes have been adopted successfully debug!)
- 2008-09-17 17:10:16下载
- 积分：1
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matlabSuperTutorial
经典的matlab入门指导手册，推荐阅读。(classic Matlab elementary guidance manuals and recommended reading.)
- 2006-12-27 11:05:50下载
- 积分：1
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cylinder
关于圆柱绕流的matlab模拟仿真实验和初步计算.(Flow around a cylinder about matlab simulation experiments and a preliminary calculation.)
- 2009-04-03 13:56:23下载
- 积分：1
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OFDM_frequencyoffset
OFDM调制模型，采用16QAM方式，并介绍了一种基于这种调制方式下的OFDM载波同步方法。每一步都有英文解释。(OFDM modulation model, using 16QAM mode and introduced an approach based on this modulation method under the OFDM carrier synchronization. English to explain every step.)
- 2010-05-20 23:05:14下载
- 积分：1
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tuxiangfenge
通过采用matlab软件来实现在最大类间方差算法下求解自适应阈值，对图像进行分割(Achieved through the use of matlab software for solving adaptive threshold in Otsu algorithm for image segmentation)
- 2014-09-11 13:10:09下载
- 积分：1
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hsmm
说明： 隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分：1
