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Cell is the smallest unit of tissues, whose abnormal growth causes tumor in Brain. Support Vector Machine (SVM) and Artificial Neural Network (ANN) based tumor and its stages classification in brain MRI images is presented in this research work. This work is started with the enhancement of the brain MRI images which are obtained from oncology department of University of Maryland Medical Center. The...
Solar cells are the basic building blocks of Solar Panels or Modules. There are presently nine companies manufacturing solar modules in the country. The total demand for solar cells in assembling solar modules of the nine companies are about 80???90MWp annually. In assembling solar modules, major raw materials include finished solar cells, bus bars, EVA, Al frame, tempered glass etc. All of them are...
In this paper, an Artificial Neural Network (ANN) is used as a speed tracker for induction motor drive. The control scheme consists of a neural network with Correlated Real Time Recurrent Learning (CRTRL) algorithm for changing the weights of neural network to track the command speed of induction motor drive accurately. The effectiveness of the controller is tested for the tracking property using...
Local minimum is an integrated problem in training of artificial neural networks (ANNs) and the speed of convergence is very slow due to this effect. To avoid this problem, the chaotic variations of learning rate (LR) are included with the conventional learning rate. In this paper, chaotic variations of LR have been included with the learning rate of three algorithms such as backpropagation (BP),...
This paper proposes the Quantum Evolutionary Algorithm (QEA) based fast speed response controller tuning for induction motor drive. Here the proportional and integral gains of PI controller are optimized by QEA to achieve quick speed response. A simple rotor flux estimator based on Correlated Real Time Recurrent Learning (CRTRL) algorithm is proposed for high performance induction motor drive. Simulation...
This paper presents a Genetic Algorithm (GA) based fast speed response controller for induction motor. Here the proportional and integral gains of PI controller are optimized by genetic algorithm to achieve quick speed response. An adaptive Recurrent Neural Network (RNN) with Real Time Recurrent Learning (RTRL) algorithm is proposed to estimate stator and rotor fluxes. This estimator is completely...
A high performance decoupling control strategy for magnetizing current and torque current of induction motors (IM) is proposed. An extended state equation of induction motor is derived to obtain the coupling matrix elements between magnetizing current and torque current. To cancel these coupling matrix elements, equivalent respective elements of opposite sign are added to the output of the current...
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