Artificial Neural
Study of Artificial Neural Network
... more artificial neurons we are getting an artificial neural ...single artificial neuron has almost no usefulness in solving real-life problems the artificial neural networks have ...
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Osmotic Drying Rate Estimation for Dehydration of Beetroot Slices using Artificial Neural Network
... develop Artificial Neural Network model that will correlate the dependent parameters, the weight loss and drying rate, with temperature, concentration of salt solution and time for osmotic dehydration of ...
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A. Artificial Neural Networks
... a neural network model for predictions of stocks closing prices future behaviour negotiated in BM&FBOVESPA in the short term, using the economic and financial theory, combining technical analysis, fundamental ...
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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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The Influence of Composite Laminate Stacking Sequence on Failure Load of Bonding Joints Using Experimental and Artificial Neural Networks Methods
... Failure load prediction of single lap adhesive joints using artificial neural networks. Aydın, An artificial neural network model for predicting compression strength of heat [r] ...
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On the application and design of artificial neural networks for motor fault detection. II.
... P of the use of artificial neural networks in motor fault detection applications. In Part I1 of this paper, we will discuss how to design an artificial neural network for[r] ...
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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 beginning of ...
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Prediction of Compressive Strength of Concrete using Artificial Neural Network
... with neural networks for determining the properties of polymer concrete with fly ...Using neural networks, the experimental results were analyzed for predicting the compressive strength and flexural ...
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Combined Complex-Valued Artificial Neural Network (CCVANN)
... single, neural network ...for neural network models (SNN) that consist of a combination of the candidate neural ...of artificial neural ...combining neural network models in ...
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Eigen Artificial Neural Networks
... an artificial neural network and propose a new point of view of this ...optimize artificial neural networks by applying the formalism to some datasets available in ...
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INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS
... Artificial neural networks have emerged from the studies of how brain performs. The human brain consists of many millions of individual processing elements, called neurons that are highly interconnected. ...
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Combat aircraft effectiveness prediction by artificial neural networks
... study. Artificial Neural Networks (ANN) is originated by observing the subject entity as a neural net and process the information of multiple dimensions by an input-output relationships, instead of ...
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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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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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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... ANN. Artificial Neural Network (ANN) has extensive application to biomedical ...systems. Neural networks learn by example, so the details of how to identify diseases are not ...
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DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network
... AI: Artificial Intelligence; ANN: Artificial Neural Network; AUC: Area under the ROC curve; CAD: Computer Aided Diagnosis; CNN: Convolutional neural network; CWT: Continuous Wavelet Transform; ...
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An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space
... regression, artificial neural network (back proliferation neural network, summed up regression neural network) and bolster vector machine (SVM) was thought ...and neural network to ...
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Estimating Effort in Comprehensive Software Development Using NN, ABE, GAFLANN
... example, neural system, fluffy principles and diverse strategies for information mining have been utilized as a part of effort estimation region [2, 6, ...Link artificial neural systems .The ...
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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 natural or ...
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OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... The paper uses the chaotic particle swarm optimization algorithm to search the optimal value of parameters required in establishing kriging model, which is important for the precision of kriging model-based curve ...
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