Description: matlab神经网络计算的实现,包括模型/实现/应用,并有简单的simulink-matlab neural network realization of the calculation, including the model/implementation/application has a simple simulink Platform: |
Size: 3514368 |
Author:Dean |
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Description: 用于定量的ANN,对于新手学人工神经网络的人来说因该不错,欢迎大家与我交流.-For quantitative ANN, for the novice learning artificial neural network for people because of the good, welcome you with my exchange. Platform: |
Size: 14336 |
Author:guorongdu |
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Description: 包含Simulink在控制系统、人工神经网络中的应用-With Simulink in the control system, the application of artificial neural network Platform: |
Size: 373760 |
Author:丁豆 |
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Description: The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
identified via an artificial neural network from measured data. The genetic algorithm
represents an optimisation procedure, where the cost function to be minimized
comprises the closed-loop simulation of the control process and a selected
performance index evaluation. Using this approach the parameters of the PID
controller were optimised in order to become the required behaviour of the control
process. Testing of quality control process was realized in simulation environment of
Matlab Simulink on selected types of nonlinear dynamic processes.-The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
identified via an artificial neural network from measured data. The genetic algorithm
represents an optimisation procedure, where the cost function to be minimized
comprises the closed-loop simulation of the control process and a selected
performance index evaluation. Using this approach the parameters of the PID
controller were optimised in order to become the required behaviour of the control
process. Testing of quality control process was realized in simulation environment of
Matlab Simulink on selected types of nonlinear dynamic processes.
Platform: |
Size: 135168 |
Author:samir |
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Description: AN ANN BASED APPROACH FOR
OPTIMAL PLACEMENT OF
DSTATCOM FOR VOLTAGE SAG
MITIGATION-Voltage sag has been considered as one of the most harmful power quality problem as it may significantly
affect industrial production. This paper presents an Artificial Neural Network (ANN) based approach for
optimal placement of Distribution Static Compensator (DSTATCOM) to mitigate voltage sag under
faults. Voltage sag under different type of short circuits has been estimated using MATLAB/SIMULINK
software. Optimal location of DSTATCOM has been obtained using a feed forward neural network
trained by post-fault voltage magnitude of three phases at different buses. Case studies have been
performed on IEEE 14-bus system and effectiveness of proposed approach of DSTATCOM placement
has been established Platform: |
Size: 452608 |
Author:西蓝 |
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Description: Using matlab to calculate the Mahalanobis distance for the image, There Wavelet Analysis Blind Signal Processing, The commonly used digital signal modulation based on artificial neural network. Platform: |
Size: 151552 |
Author:boupangfaogan
|
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Description: In this paper, an efficient active power filter (APF) scheme is developed to estimate and compensate for harmonic distortion in an electrical power network. The developed APF control scheme is based on a double proportional feedback controller and a single-phase voltage-source half-wave bridge inverter. The proposed filter uses a Multi-layer Artificial Neural Network (MLANN) with a shift method for estimating system harmonic currents and voltages at a dedicated point. The proposed scheme is tested on a 13 bus industrial distribution system. The obtained results ensure the effectiveness of the proposed filter. The system is simulated in MATLAB-Simulink and simulation results prove that the polluting harmonics have been greatly reduced. Platform: |
Size: 1906688 |
Author:amir1 |
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Search - artificial neural simulink