Abstract In this paper, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are used as maximum power point tracking controllers to improve the performance of a stand-alone photovoltaic system. Based on the FL-M-160W PV module specifications, the PV panel and the...
Abstract Artificial neural network (ANN) is a powerful and versatile tool in the field of artificial intelligence and machine learning. This chapter provides a comprehensive overview of ANN, delving into its foundational concepts, architecture, training methods, step-by-step working principle with MATLA...
models of how the dynamics of neural circuitry arise from interactions between individual neurons and finally to models of how behavior can arise from abstract neural modules that represent
Abstract A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. In order to control the plant operation under both normal and abnormal conditions, the different systems in NPPs (e.g., the reactor core components, primary and secondary coolant systems...
Abstract Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this article we introduce ANN using familiar econometric terminology and provide an overview of the ANN modelling approach and its implementation methods. ...
Abstract The growing demands of brain science and artificial intelligence create an urgent need for the development of artificial neural networks (ANNs) that can mimic the structural, functional and biological features of human neural networks. Nanophotonics, which is the study of the behaviour of lig...
We describe the use of an artificial neural network for classifying radar signals collected by a passive receiver. We selected neural classifiers because of their ability to adapt to the environment through training which allows them to avoid many of the problems associated with traditional classifiers...
Application of Artificial Neural Network and (人工神经网络的应用).pdf,Adv. Theor. Appl. Mech., Vol. 3, 2010, no. 4, 159 - 176 Application of Artificial Neural Network and Wavelet Transform for Vibration Analysis of Combined Faults of Unbalances and Sha
Abstract Because influenza is a contagious respiratory illness that seriously threatens public health, accurate real-time prediction of influenza outbreaks may help save lives. In this paper, we use the Twitter data set and the United States Centers for Disease Control’s influenza-like illness (ILI...
Abstract The COVID-19 pandemic is a serious global issue destroying financial markets awfully. The proper estimation effect of COVID-19 pandemic on dynamic emerging financial markets is a big challenge due to a complex multidimensional data. However, the present study proposes a Deep Neural Network...