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Nervsystem
神经网络是单个并行处理元素的集合，我们从生物学神经系统得到启发。在自然界，网 络功能主要由神经节决定，我们可以通过改变连接点的权重来训练神经网络完成特定的功能。如人脑的某一部分进行机械记忆特别有效 而某一部分进行抽象思维特别有效。(Nervous system has some functions. Here I make them by using Matlab.)
- 2010-07-06 11:52:52下载
- 积分：1
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minimumdistance
It will find the minimum distance between the two points input by the user
- 2009-03-28 02:53:36下载
- 积分：1
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TDEB
高阶谱分析3，适用于阵列信号处理、雷达信号处理等(。-High-order spectral analysis toolbox for array signal processing, radar signal processing.)
- 2009-04-04 16:07:07下载
- 积分：1
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Butterworth-filter-order-and-cutoff-frequency
jdfhjsdhjf dmfnmdmfdfdfdff
- 2011-10-05 14:34:03下载
- 积分：1
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Control_Allocation
控制分配 用于航天执行器的控制分配，希望对大家有用(control allocation)
- 2012-06-01 21:31:21下载
- 积分：1
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pcm
PCM编码，matlab语音编写，对初学者很有帮助。(procedure of pcm coding,it is written with matlab language, it is usful.)
- 2011-09-15 16:52:41下载
- 积分：1
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Untitled5_2ASK
2ask调制，波形生成，图像生成，波形识别(2ask modulation, waveform generation, image generation, waveform recognition)
- 2012-08-10 10:31:43下载
- 积分：1
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Fuzzy_logic_simulink
Simulink files:
· HeaterTest.mdl Heater test model in Simulink(Requires HdataM)
· TSKHeater.mdl Heater control using TSK alg(Requires HdataM,HdataF,HdataTd)
· MamdaniTest.mdl Simple Mamdani test model(Requires Mdata)
· Mamdani9Test.mdl 9 rule Mamdani test model(Requires Mdata)
· Mamdani25Test.mdl" 25 rule Mamdani test model(Requires Mdata25)
· EngineTest.mdl Vehicle engine test model in Simulink(Requires VdataM,VdataC)
· MamdaniVehicle.mdl Vehicle control via simple Mamdani FLC(Requires VdataM,VdataF)
· Mamdani9Vehicle.mdl Vehicle control via 9 rule Mamdani FLC(Requires VdataM,VdataF)
· Mamdani25Vehicle.mdl Vehicle control via 25 rule Mamdani FLC(Requires VdataM,VdataF25)
· OptimalVehicle.mdl Vehicle control via simple LQ alg(Requires VdataM,VdataC)
- 2012-09-15 10:46:44下载
- 积分：1
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nonlinear_report1
Non-linear control system application
- 2011-12-28 21:59:02下载
- 积分：1
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drtoolbox
降维工具箱，有PCA，LDA等等比较全面，里面有说明。(Dimensionality reduction toolbox, PCA, LDA, and so a more comprehensive, there are instructions.)
- 2014-01-12 20:05:30下载
- 积分：1
