In this study, a new hybrid model, namely the Electromagnetism-based Firefly Algorithm - Artificial Neural Network (EFA-ANN), is proposed to forecast the energy consumption in buildings. The model is applied to evaluate the heating load (HL) and cooling load (CL) using two given datasets. ...
An Artificial Neural Network (ANN) is defined as a computational model that imitates the functioning of biological neurons. It consists of input, hidden, and output layers, processing molecular information to produce biological activity or properties as output. ...
The textbook meaning of an artificial neural network (ANN) is adeep learningmodel made up of neurons that emulate the structure of the human brain. These neurons are designed to mimic the way nerve cells in the mind work while enabling the model to process and learn from a dataset independen...
www.nature.com/scientificreports OPEN An application of artificial neural network (ANN) for comparative performance assessment of solar chimney (SC) plant for green energy production Dipak Kumar Mandal 1, Nirmalendu Biswas 2, Nirmal K. Manna 3, Dilip Kumar Gay...
2.8. Artificial Neural Network RSM is widely used to examine and optimize input variables for experiment design and model development by mapping a response surface over a particular region of interest and identifying the optimum conditions required to achieve target specifications. ANN may be used to...
As we note later in this work, such a replacement can benefit the accuracy and minimal dataset needed for an artificial neural network prediction. Figure 1. The comparison of two approaches to the prediction problem with use of an ANN (a) black box (b) combination of a mathematical model ...
aAn artificial neural network (ANN) is a mathematical system, which can model the ability of biological neural network by interconnecting many simple neurons. The back-propagation neural network (BPN) is the most prevalent in supervised learning models of the ANN. The procedure of the BPN ...
Feedback error-learning (FEL) controller that consists of a proportional-integral-derivative (PID) controller and an artificial neural network (ANN) had applicability to functional electrical stimula...
An example of artificial neural network (ANN) application for indirect estimation of rock parameters. Rock Mech Rock Engng, 2007, 41(5): 781.Yilmaz I, Yuksek AG (2008) An example of artificial neural network (ANN) application for indirect estimation of rock parameters. Rock Mech Rock Eng 41...
A convolutional neural network (CNN) is an important and widely utilized part of the artificial neural network (ANN) for computer vision, mostly used in the pattern recognition system. The most important applications of CNN are medical image analysis, image classification, object recognition from vid...