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matlab_1 Downloaded：0: By a self-learning and adaptive capacity of single neurons constitute the single neuron adaptive intelligent PID controller is not only simple in structure, but also to adapt to environmental changes, has a strong robust
Date : 2025-11-12 Size : 1kb User : feiyang
matlab_2 Downloaded：0: Quadratic performance index based on the learning algorithm of single neuron adaptive PID control, quadratic performance index used to calculate the control law can be expected to optimize the effect.
Date : 2025-11-12 Size : 1kb User : feiyang
matlab_3 Downloaded：0: BP neural network based on the PLD-tuning control, neural network, in accordance with the system running, adjusting the parameters of PID controller with a view to attaining certain performance metrics are optimized so t
Date : 2025-11-12 Size : 1kb User : feiyang
RS_BCH Downloaded：0: BCH coding matlab source code can refer to
Date : 2025-11-12 Size : 3kb User : 凌风
02 Downloaded：0: MATLAB7 assisted control system design and simulation of the original code book, Chapter 2. Rar
Date : 2025-11-12 Size : 8kb User : dsfs
03 Downloaded：0: MATLAB7 assisted control system design and simulation of the original code book, Chapter 3
Date : 2025-11-12 Size : 8kb User : dsfs
04 Downloaded：0: MATLAB7 Auxiliary Control System Design and Simulation, Chapter 4
Date : 2025-11-12 Size : 7kb User : dsfs
05 Downloaded：0: MATLAB7 auxiliary control system design and simulation in Chapter 5
Date : 2025-11-12 Size : 23kb User : dsfs
06 Downloaded：0: MATLAB7 Auxiliary Control System Design and Simulation of Chapter 6
Date : 2025-11-12 Size : 4kb User : dsfs
flD Downloaded：0: MATLAB7 Auxiliary Control System Design and Simulation of Appendix D
Date : 2025-11-12 Size : 8kb User : dsfs
Cascade Downloaded：0: Multiplicative cascade model
Date : 2025-11-12 Size : 1kb User : reedroot
dct_total_ss Downloaded：0: DCT domain using spread-spectrum watermark embedding, with the experimental images, and various classical attacks. The option embedded in the strength and intensity of attacks. Prepared using Matlab
Date : 2025-11-12 Size : 113kb User : 张湛

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