Artificial neural network (ANN)
Predicting energy requirement for heating the building using artificial neural network
... This paper explores total heat load and total carbon emissions of a six storey building by using artificial neural network (ANN). Parameters used for the calculation were conduction losses, ...
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Osmotic Drying Rate Estimation for Dehydration of Beetroot Slices using Artificial Neural Network
... of neural network is in its training & algorithm suggested by Rumelhart [9] is popular in this ...using Artificial Neural Network [15] ...
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Bedload transport predictions based on field measurement data by combination of artificial neural network and genetic programming
... Hydraulic variables and sediment data from Kurau River in Malaysia were used to predict bedload transport. The artificial neural network and genetic programming methods were used and the RSME and ...
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Artificial Neural Network
... Artificial neural networks (ANNs) are computational models inspired by an animal's central nervous system (in particular the brain) which is capable of machine learning as well as pattern ...recognition. ...
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... Neural Network (ANN) is a very important research domain now a days. Artificial Neural Network , coupled with Data mining , is a very exciting field ...sector, Neural ...
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Study of Artificial Neural Network
... An Artificial Neural Network (ANN) is a mathematical model that tries to simulate the structure and functionalities of biological neural ...every artificial neural network ...
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Prediction of prostate cancer by deep learning with multilayer artificial neural network
... in artificial intelligence are now being applied to various fields in society and ...A neural network simulates the pattern recognition capabilities of a biological ...multilayer artificial ...
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DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY USING ADAPTIVE BOOSTING AND ARTIFICIAL NEURAL NETWORK
... Abstract: The disorders identified with retina of the eye such as: Diabetic Retinopathy (DR), age-related Macular Degeneration (AMD), Glaucoma, etc. can cause visual impairments. The retinal fundus pictures of the ...
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Retina Based Biometric Identification System using Artificial Neural Network
... The methodology consists of two sections one is testing part and the other one is training part .The same process is carried out in both the sections .In the training part the retinal samples are trained and stored in ...
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Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... “artificial neural network with an error backward propagation algorithm” and an “artificial neural network with a genetic algo- rithm”, 61 firms in 7 financial years, from the ...
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Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
... process. Artificial neural network has ability of tracing a nonlinear form relationship between input and output ...ability, artificial neural networks have widespread application in ...
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Soft Computing Stock Market Price Prediction for the Nigerian Stock Exchange
... models- Artificial Neural Network (ANN) and Fuzzy Artificial Neural Network (FANN) hybrid model were used to forecast the next day’s closing ...
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Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks
... ANN: Artificial neural network; BPN: Back propagation neural network; BraTS: Brain tumour segmentation; CAD: Computer-aided diagnosis; CNN: Convolutional neural network; ...
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Neural Network Priority Use of BTS for Optimizing Telecommunications in Indonesia
... [1]-[3]. Artificial Neural Network is an artificial representation of the human brain that always tries to simulate the learning process in the human ...
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Dynamic Pricing in Ecommerce using Neural Network approach
... and Artificial Neural Network (ANN) for estimation of player price in ...using artificial neural network in predicting service life for an ongoing research on affordable quality ...
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Radio location of partial discharge sources : a support vector regression approach
... Abstract: Partial discharge (PD) can provide a useful forewarning of asset failure in electricity substations. A significant proportion of assets are susceptible to PD due to incipient weakness in their dielectrics. This ...
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Vol 5, No 1 (2013)
... A neural network (NN), in the case of artificial neurons called artificial neural network (ANN) or simulated neural network (SNN), is an interconnected group of ...
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Review on Transformer Protection through Arti...
... Hence, artificial neural network (ANN), a powerful tool for artificial intelligence (AI), which has the ability to mimic and automate the knowledge, has been proposed for detection and ...
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An approach of curing Depression by Artificial Neural Networks (ANN)
... it. Neural Network one of the pillars of Artificial Intelligence is very similar to our central Nervous System (CNS) and depression affects our CNS very ...of Artificial Neural ...
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Digital Synthetic Ripple Modulator (SRM) for DC-DC Converter
... the Artificial Neural network (ANN) methodology to control the output voltage of a dc- dc buck converters and also the Artificial Neural network (ANN) methodology to control the ...
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