Artificial neural network approach
Analysis of Tropospheric Ozone by Artificial Neural Network Approach in Beijing
... Commonly, neural network models are considered as best alternatives of highly sophisticated deterministic model due to their ability to skip the all redundant investigation of physical pa- rameters happened ...
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Artificial neural network approach for Load Balancing in distributed systems
... as network. For building of network all computing machines like main frame computer, desktop computer, minicomputer are connected to high speed network, and that networked systems are then referred ...
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An Artificial Neural Network Approach for Credit Risk Management
... of neural network ...the neural network models incorporat- ing the fundamental accounting variables can generate more accurate forecasts of future earnings than the mod- els assuming a linear ...
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ARTIFICIAL NEURAL NETWORK APPROACH FOR HAND GESTURE RECOGNITION
... Gesture recognition is an important for developing alternative human-computer interaction modalities. It enables human to interface with machine in a more natural way. For recognizing the gestures, there are several ...
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Forecasting of heavy metals concentration in groundwater resources of Asadabad plain using artificial neural network approach
... insufficient neural network training, therefore presenting a sufficient portion of data can improve the accuracy of the model in the training and testing ...
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Artificial Neural Network Approach for Estimation of Land Surface Temperature
... In view of its non-linear structure, the ANN is capable to capture the most complex characteristics from the data, which is not always possible if one uses the traditional statistical techniques or other deterministic ...
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Artificial Neural Network Approach For Software Product Line Testing
... this approach, we use the FAMA (FeAture Model Analyzer) tool to generate test cases or configuration ...the neural network is applied to the data set and the actual dataset is trained to obtain the ...
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Project Selection: Artificial Neural Network Approach
... biological neural networks, fuzzy systems and integration of them ...Nonetheless, artificial neural networks (ANN) have obtained the most wide application indisputably, referenced ...
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An Artificial Neural Network Approach for Predicting Kinematics in Handball Throws
... this neural model were the lowest for all predicted kinematic parameters during the network training (70% training, 15% cross validation and ...between network output data and the original analysis ...
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Radio location of partial discharge sources : a support vector regression approach
... cost approach for uninterrupted monitoring of PD using a network of inexpensive radio sensors to sample the spatial patterns of PD received signal ...of artificial neural network (ANN) ...
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NEURAL NETWORK BASED APPROACH FOR RECOGNITION FOR DEVANAGIRI CHARACTERS
... The development of a Character recognition system for Devnagri is difficult because (i) there are about 350 basic, modified (“matra”) and compound character shapes in the script and (ii) the characters in a words are ...
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An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space
... prediction approach in view of help vector machines for creating weather based prediction models of plant diseases is proposed by Rakesh and ...regression, artificial neural network (back ...
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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 ...an approach to fault diagnosis in chemical processes ...using Artificial Neural ...
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Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... new approach that uses a supervised feed-forward neural network model to forecast Japanese tourist arrivals in Hong ...the neural network contains six nodes: Ser- vice Price, Average ...
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Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... prediction approach based on support vector machines [4] for developing weather based prediction models of plant diseases is proposed by Rakesh & ...regression, artificial neural network ...
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Artificial Neural Network
... do. Neural networks process information in a similar way the human brain ...The network is composed of a large number of highly interconnected processing elements (neurons) working in parallel to solve a ...
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A New Approach for Rainfall Prediction using Artificial Neural Network
... In the earth’s environment, Rainfall is one of the key parameter. The essential requirement of rainfall forecast data is to endorsement water resources management specifically which is concerned to be change the global ...
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Steganography Detection using Functional Link Artificial Neural Networks
... new approach known as Steganography detection using Functional Link Artificial Neural Networks that deals with neural network models that are able to detect Steganography content coded ...
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Insights on Security Improvements and Implications of Artificial Intelligence in MANET
... learning approach in order to explore the best possibility of initial-reported cases of intrusion as per the assigned fitness ...mobile network where harnessing deep neural network has better ...
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Analysis of Earth Embankment Structures using Performance-based Probabilistic Approach including the Development of Artificial Neural Network Tool.
... The FEMA risk prioritization tool for dams is a standards-based decision-making tool for risk-based dam safety prioritization meant to be used by state dam safety regulators to identify dams that most urgently need ...
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