Adaptive Neural Network-Based Control of a Hybrid AC/DC Microgrid

Neural Network Based Microgrid Voltage Control

construction and validation of a computerized adaptive translation test (a receptive based study)

آزمون انطباقی رایانه ای (cat) روشی نوین برای سنجش سطح علمی دانش آموزان می باشد. در حقیقت آزمون های رایانه ای با سرعت بالایی به سمت و سوی جایگزین عملی برای آزمون های کاغذی می روند (کینگزبری، هاوسر، 1993). مقاله حاضر به دنبال آزمون انطباقی رایانه ای برای ترجمه می باشد. بدین منظور دو پرسشنامه مشتمل بر 55 تست ترجمه میان 102 آزمودنی و 10 مدرس زبان انگلیسی پخش گردید. پرسشنامه اول میان 102 دانشجوی س...

Adaptive Control Based On Neural Network

Neural network has good nonlinear function approximation ability. It can be widely used to identify the model of controlled plant. In this chapter, the theories of modeling uncertain plant by using two kinds of neural networks: feed-forward neural network and recurrent neural network are introduced. And two adaptive control strategies for robotic tracking control are developed. One is recurrent...

A Convolutional Neural Network based on Adaptive Pooling for Classification of Noisy Images

Convolutional neural network is one of the effective methods for classifying images that performs learning using convolutional, pooling and fully-connected layers. All kinds of noise disrupt the operation of this network. Noise images reduce classification accuracy and increase convolutional neural network training time. Noise is an unwanted signal that destroys the original signal. Noise chang...

A Novel Hybrid Droop-Isochronous Control Strategy for Microgrid Management

The droop control strategy is the most common approach for microgrids control but its application is limited due to frequency deviation following a load change. Complementary control strategy has then been proposed to solve the problem using a communication network. However, under this strategy, regular loads profile produces a continuous change of output power of all distributed generators (DG...