[PDF] Top 20 Prediction of Operating Characteristics of Electrotechnical Devices using Artificial Neural Networks
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Prediction of Operating Characteristics of Electrotechnical Devices using Artificial Neural Networks
... in electrotechnical devices there are often situations with a complex phenomenology (thermal, electromagnetic, mechanical, ...deal devices, whose operating characteristics depend on ... See full document
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PREDICTION OF HYDRODYNAMIC COEFFICIENTS OF PERMEABLE PANELED BREAKWATER USING ARTIFICIAL NEURAL NETWORKS
... development of coastal areas depends on shore protection against waves and ...types of coastal protection structures such as artificial beaches, nourishment, breakwaters, jetties, seawalls, ... See full document
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Masonry Compressive Strength Prediction Using Artificial Neural Networks
... mechanical characteristics of its ...strength of masonry and the geometrical and mechanical properties of the components of the ...application of arti ficial neural ... See full document
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Comparison of mathematical models and artificial neural networks for prediction of drying kinetics of mushroom in microwave vacuum dryer
... Drying characteristics of button mushroom slices were determined using mic- rowave–vacuum drier at various powers (130, 260, 380 and 450 W) and abso- lute pressures (200, 400, 600 and 800 ...rates ... See full document
11
Detection of pore space in CT soil images using artificial neural networks
... suggested using thresholds for typical and critical ...limit of the critical region for each individual im- age as the average of the lower maximum and minimum be- tween the two maxima in the ... See full document
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ARTIFICIAL NEURAL NETWORKS APPLIED FOR SOIL CLASS PREDICTION IN MOUNTAINOUS LANDSCAPE OF THE SERRA DO MAR
... complexity of networks with additional inner layer neurons, the use of two internal layers, and more training cycles contributed to enhance the classification ...comparing networks with a ... See full document
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Application of multivariable control using artificial neural networks in a debutanizer distillation column
... on neural identification of a mutivariable input- mutivariable output (MIMO) ...control of the product taking away from the top of the tower is affected by the Outflow Control (FIC-100) and ... See full document
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ESTIMATION OF FUEL CONSUMPTION IN AGRICULTURAL MECHANIZED OPERATIONS USING ARTIFICIAL NEURAL NETWORKS
... develop artificial neural networks for the estimation of tractor fuel consumption during soil preparation, according to the adopted ...number of layers and neurons varied to form ... See full document
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Prediction of the energy values of feedstuffs for broilers using meta-analysis and neural networks
... Neural Networks is a term that denotes sets of connec- tionist models inspired by the neurological structures and processing function of the central nervous system of living beings, ... See full document
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Res. Biomed. Eng. vol.32 número3
... diagnosis using morphological features for classifying breast lesions on ...Diagnosis of breast tumors with ultrasonic texture analysis using support vector ...machines. Neural Computing & ... See full document
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Application of Neural Networks Technique for Predicting of Abrasiveness Characteristics of Thermal Coal
... the prediction of abrasiveness of thermal coal, it is important to understand the nature and properties of the mineral matters in a coal that would contribute to abrasive ...Most of the ... See full document
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Assessment of genome-wide prediction by using Bayesian regularized neural networks
... types of genetic ...accuracy of the BRNN models by exploiting differential weights for the considered ...kind of biological explanation come also from artificial neural network, thus ... See full document
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Prediction of ‘Gigante’ cactus pear yield by morphological characters and artificial neural networks
... planning of small and medium rural producers, especially in environments with adverse climatic conditions, such as the Brazilian semi-arid ...objective of this study was to evaluate the potential of ... See full document
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Threshold Prediction of a Cyclostationary Feature Detection Process using an Artificial Neural Network
... way of utilizing the spectrum efficiently depending on the ...forms of distortion and disturbances depending on the factors like distance, transmission medium and so ...types of distortions and ... See full document
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J. Braz. Soc. Mech. Sci. & Eng. vol.27 número2
... consists of the development of techniques for model estimation from experimental data, demanding no previous knowledge of the ...influence of the benefits of identification techniques, ... See full document
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High-efficiency phenotyping for vitamin A in banana using artificial neural networks and colorimetric data
... one of the most consumed fruits in Brazil and an important source of minerals, vitamins and carbohydrates for human ...characterization of banana superior genotypes allows identifying those with ... See full document
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As redes neurais artificiais e o ensino da medicina.
... poration of new information technologies – point to the need to broaden discussions on the teaching- -learning process in medical ...use of new computer technologies in medical education has shown many ... See full document
9
Towards Development of Real-Time Handwritten Urdu Character to Speech Conversion System for Visually Impaired
... recognition using multilayer feed forward neural network reporting an accuracy of ...quality of existing system by combining the methods of Hidden Markov Model (HMM)-based speech ... See full document
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Prediction of ferric iron precipitation in bioleaching process using partial least squares and artificial neural network
... properties of such a network is reliant on the computational elements, especially the weights and the transfer function, in addition to the net topo- ...weights of the synaptic connections and the number ... See full document
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Method of operational diagnostic state of flow and calculation of calibration Coefficients using artificial neural networks
... Dr. Osama Ahmad Salim Safarini had finished his PhD. from The Russian State University of Oil and Gaz Named after J. M. Gudkin, Moscow, 2000, at a Computerized-Control Systems Department. He obtained his BSC and ... See full document
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