[PDF] Top 20 Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
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Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
... Artificial neural networks (ANNs), as one of the most attractive branches in artificial intelligence, has the potential to handle problems such as modeling, estimating, ... See full document
8
Design of Circular Microstrip Antenna Using Artificial Neural Networks
... an artificial neural network (ANN) model has been developed for design of circular microstrip patch ...advantage of the proposed approach is that, after proper training, proposed neural ... See full document
4
Prediction of Skin Penetration using Artificial Neural Network
... The artificial neural networks (ANN) technologies provide on-line capability to analyze many inputs and provide information to multiple outputs, and have the capability to learn or adapt to changing ... See full document
6
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
11
Estimating the Number of Test Workers Necessary for a Software Testing Process Using Artificial Neural Networks
... estimation of project cost, development of schedules and budgets, meeting user requirements and complying with stan- ...beginning of the project but also during the development ...idea of ... See full document
7
Prediction of Permanent Earthquake-Induced Deformation in Earth Dams and Embankments Using Artificial Neural Networks
... training process is concluded as soon as the overtraining signal ...the prediction accuracy of the trained network applied to a test set gets worsened at that stage of the training period, ... See full document
13
Algorithm for Modeling Wire Cut Electrical Discharge Machine Parameters using Artificial Neural Network
... Unconventional machining process finds lot of application in aerospace and precision ...because of the advent of composite and high strength to weight ratio materials, complex parts and ... See full document
7
Artificial neural networks (ANN): prediction of sensory measurements from instrumental data.
... evaluation of the light cheesecurds was performed by means of imitative (Texture Profile) and fundamental tests (rotational and oscillatory tests) at 10 ...(TPA), parameters of firmness, ... See full document
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OPTIMIZATION OF OPERATING PARAMETERS FOR EDM PROCESS BASED ON THE TAGUCHI METHOD AND ARTIFICIAL NEURAL NETWORK
... Neural networks are developed using the current understanding of the biological nervous ...development of a neural network in the domain of engineering design and group ... See full document
9
Egg Hatchability Prediction by Multiple Linear Regression and Artificial Neural Networks
... The parameters used in the input layer included the entire 496-h incubation period (incubation and hatcher ...consisted of data from six incubations out of the eight carried out, and included the ... See full document
6
Analysis of forecasting capabilities of ground surfaces valuation using artificial neural networks
... grinding process of the workpieces used in the experimental ...statistical parameters DPO and DPKS, which, together with the AE and grinding power signals, comprised the set of inputs into the ... See full document
8
Masonry Compressive Strength Prediction Using Artificial Neural Networks
... accumulation of smaller databases acquired by different researchers and available relevant ...the process of compiling the database, the relia- bility of each individual database has to be ... See full document
25
Prediction of Operating Characteristics of Electrotechnical Devices using Artificial Neural Networks
... dependence of the coil inductance, of its sensitivity and of the voltage at its terminals, function of several parameters, of which the most important is the distance between the ... See full document
6
PREDICTION OF HYDRODYNAMIC COEFFICIENTS OF PERMEABLE PANELED BREAKWATER USING ARTIFICIAL NEURAL NETWORKS
... evaluation of the changes of these three coefficients, due to the change in the breakwater geometrical parameters and the surrounding wave climate, the optimum structural features of the ... See full document
12
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 ... See full document
9
Combining Artificial Neural Networks and GIS Fundamentals for Coastal Erosion Prediction Modeling
... Artificial neural networks (ANN) or simply a neural network, is a set of independent neurons linked together in the same way as the synapses, neurons, and dendrites of ours ...a ... See full document
14
Prediction of ‘Gigante’ cactus pear yield by morphological characters and artificial neural networks
... determination of the optimal number of neurons in the intermediate layer is ...number of training samples and the number of intermediate connections must be considered in the selection ... See full document
5
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
68
HYBRIDIZATION OF ARTIFICIAL NEURAL NETWORK USING DESIRABILITY FUNCTIONS FOR PROCESS OPTIMIZATION
... phase of study, data were considered with the objective of robust control of fermentation ...fermentation process is a biological base system that runs smoothly depending on effective operator ... See full document
14
Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran
... change of Siah Mazgi basin forests of shaft city and explain the factors influencing these changes using remote sensing and ...images of 2000 and 2013 will be used. Research methodology will ... See full document
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