Artificial Networks Neural ANN
The use of artificial neural networks (ANN) in food process engineering
... —Artificial neural networks (ANN) aim to solve problems of artificial intelligence, by building a system with links that simulate the human ...The ANN is a system of neurons ...
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Masonry Compressive Strength Prediction Using Artificial Neural Networks
... ficial neural network is based on the concept of the biological neural network of the human ...the ANN is the arti ficial neuron, which is a mathematical model trying to mimic the behaviour of the ...
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Design of Circular Microstrip Antenna Using Artificial Neural Networks
... configuration. Neural networks have recently gained attention as a fast and flexible vehicle to EM/microwave modeling, simulations and ...optimization. ANN can be used efficiently to design of ...
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Automatic Design of Artificial Neural Networks for Gamma-Ray Detection
... Gamma-ray detection helps to investigate extreme phenom- ena in the Universe, e.g., gamma-ray burst arising from fast rotating neutron stars or supermassive black holes. In this work, it is our objective to use deep ...
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Classification of electroencephalogram signals using artificial neural networks
... Amplitudes of the FFT peaks and their frequency with 12 electrodes together: This technique attempts to identify the values of the beam and its frequency index set of electrodes in each patient in the frequency range, ...
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Photovoltaic power forecast modeling with artificial neural networks
... Arti cial Neural Networks, feed-forward neural networks (FFNN) and radial basis function neural network ...of ANN will be explained and ...
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Selection in sugarcane families with artificial neural networks
... inspected during the visual assessment of the population under selection, given the quantity of plants taken to the field (~200,000 seedlings per year) and the time required for evaluation of the population, superior ...
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REFERENCE EVAPOTRANSPIRATION FORECASTING BY ARTIFICIAL NEURAL NETWORKS
... traditional Artificial Neural ...the ANN performance were accuracy, precision, and ...of artificial neural networks, and using only air temperature data as an input ...
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Flood routing modelling with Artificial Neural Networks
... with artificial intel- ...of artificial neural networks and the high computation requirements concerning the application of so- phisticated physically based ...of ANN for flood ...
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Spatial predictive mapping using artificial neural networks
... The ANN approach is based on the functionality of a biological nervous system. This system is composed of many interconnected neurons (nerve cells), which receive process and transfer information. After reaching a ...
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Artificial neural networks for compression of gray scale images: a benchmark
... Reddy et al [5] have presented and discussed results concerning RBF-based digital image compression while Barbalho et al [3] have done the same for HSON-based compression. Wang and Gou [6] have studied an approach that ...
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Digital soil mapping using reference area and artificial neural networks
... in ANN used in this study were as follows: All Variables (AV), All Variables except Slope (AV-S), All Variables except Elevation (AV-E), All Variables except Geology (AV-G), All Variables except Convergence Index ...
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Egg Hatchability Prediction by Multiple Linear Regression and Artificial Neural Networks
... In ANN, results presented virtually no variation, with predicted mean ...that ANN provided a more accurate prediction than conventional multiple regression ...
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Prediction of soil shear strength parameters using artificial neural networks
... Accordingly, artificial neural networks were built, in which the cohesion and friction angle were predicted separately in an attempt to obtain better results than those obtained from a single ...each ...
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Wavelet transform and artificial neural networks applied to voice disorders
... Artificial Neural Networks are one of the most classifiers known in the literature and; therefore, it was chosen to classify laryngeal diseases in this ...work. ANN models are specified by the ...
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VOICE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS AND GAUSSIAN MIXTURE MODELS
... of artificial neural networks (ANN) and statistical Gaussian mixture models ...multilayer ANN architecture with 30 hidden neurons was implemented for discriminative classification and ...
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Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
... of ANN in different nontraditional machining processes such as, Kuo Tsai et ...different neural networks models to predict the surface finish based on the effect of changing the electrode polarity in ...
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Optical character recognition (ocr) system for english language using artificial neural network (ann) classifier
... Thus, artificial neural networks were originally developed which mimics the behaviour of human nervous system to some extent ...of artificial intelligence, ANN still lacks behind human ...
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Application of Artificial Neural Networks for Predicting Generated Wind Power
... An Artificial Neural Network (ANN) is a type of model that was first abstracted by McCulloch and Pitts ...developed ANN systems for application in various areas of social sciences, physical ...
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ARTIFICIAL NEURAL NETWORKS - AN APPLICATION TO STOCK MARKET VOLATILITY
... under ANN model is less than that of the volatility from GARCH ...under ANN model which may be used for option pricing and portfolio selection as it takes care of non-linearity in data by removing outliers ...
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