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eg10-nenglipinjia
《MATLAB神经网络30个案例分析》中的第10个例子，案例10 离散Hopfield神经网络的分类——高校科研能力评价。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 10 cases of 10 discrete Hopfield neural network classification- the ability evaluation of scientific research in higher educational institutions. Hope to have certain help to everybody!
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- 2013-09-20 16:06:12下载
- 积分：1
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multi-class-classification
associative classification matlab code for bigner
- 2013-04-07 19:21:32下载
- 积分：1
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my15
Predictive Direct Power Control - A New Control Strategy for DC/AC Converters
- 2013-04-26 02:27:17下载
- 积分：1
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singgiu_v68
用于时频分析算法，数值分析的EULER法，LCMV优化设计阵列处理信号，用于建立主成分分析模型，主同步信号PSS在时域上的相关仿真，基于chebyshev的水声信号分析。
( For time-frequency analysis algorithm, EULER numerical analysis method, LCMV optimization design array signal processing, Principal component analysis model for establishing, PSS primary synchronization signal in the time domain simulation related, Based chebyshev underwater acoustic signal analysis.
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- 2017-04-12 22:35:07下载
- 积分：1
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matlab_GUI_2
matlab视频很有用 不信看看哦 我看过了收益良多(good)
- 2010-02-24 15:35:36下载
- 积分：1
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First_Order
应用最小二乘法对一阶系统进行辨识，得到相应的参数(Least square method the first order system identification, the corresponding parameters)
- 2010-05-12 04:49:16下载
- 积分：1
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picture
该图片是对无线传感网络，从能量和死亡节点进行仿真验证，所用算法为改进量子遗传算法(The picture is a wireless sensor network nodes and death from energy simulation, the algorithm used to improve the quantum genetic algorithm)
- 2013-12-05 10:32:56下载
- 积分：1
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THE-THEORY-OF-CONVEX-OPTIMIZATION
说明： 讲述了凸优化的基本理论，包括定义，模型，鲁棒特性以及对信号重构的指导等。(Describes the basic theory of convex optimization, including definitions, models, robust features and guidance on the signal reconstruction.)
- 2011-03-04 15:49:06下载
- 积分：1
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HSJZ
function [ H ,S ] = HS( f )
UNTITLED2 Summary of this function goes here
Detailed explanation goes here
syms x1 x2
f1=diff(f,x1)
f2=diff(f,x2)
S= [f1 f2]
H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)]
end
s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))
- 2013-04-11 23:40:13下载
- 积分：1
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load-forecasting
用于预测的东西，很一般的东西，有兴趣的试试看，没兴趣的，呵呵~~那就不好意思了(Used to predict something very general things, interested give it a try, not interested, huh, huh ~ ~ it embarrassed)
- 2013-04-27 16:35:58下载
- 积分：1
