artificial-neural-network method
Rainfall-runoff modelling using artificial neural network method
... of neural networks is an extremely interdisciplinary field such as science, engineering, automotive, aerospace, banking, medical, business, transportation, defense, industrial, telecommunications, insurance, and ...
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International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 9, Issue 10, October 2019)
... Series method, the artificial neural network method (ANN), the Fast Fourier Transform method (FFT), and the actual rainfall record for the month of June ...two method ...
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Estimation of groundwater level using a hybrid genetic algorithm-neural network
... of neural network models for the prediction of water resources ...the Artificial Neural Network-Geostatic methodology for spatiotemporal prediction of groundwater levels in a coastal ...
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... the neural network refers to a network of biological ...neurons. Artificial neural network (ANN) is the mimicking of the human neuron on a ...multilayer network made up of ...
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ARTIFICIAL NEURAL NETWORK BASED TOLERANCE ANALYSIS METHOD
... 34 INTERNATIONAL JOURNAL OF ADVANCES IN ENGINEERING RESEARCH Data are saved and the Simulink diagram was created. In the Simulink diagram the input data were fed for known component dimensional tolerance from which the ...
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Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... This literature assessed a statistical examination of CCP that was conducted in the Mysore region. The scope of this investigation to deliver an information about crop, which helps farmers to obtain maximum price for ...
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Prediction of prostate cancer by deep learning with multilayer artificial neural network
... Two to five hidden layers of ANN were composed of 5 neurons for each layer, the activation function of hidden layers was the ReLu function, loss function was cross entropy error function, back propagation algorithm was ...
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Comparison of Accuracy of Artificial Neural Network (ANN) and Kriging Methods for Estimating Chlorine Concentration
... a method of interpolation for which the interpolated values are modeled by a Gaussian process governed by prior covariances, as opposed to a piecewise-polynomial spline chosen to optimize smoothness of the fitted ...
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Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... regression, artificial neural network (back propagation neural network, generalized regression neural network) and support vector machine (SVM) was ...Stereomicroscopic ...
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... training neural networks are based on local search, population methods, and others such as cooperative coevolutionary models ...back-propagation method versus basic PSO to adjust only the synaptic weights ...
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Osmotic Drying Rate Estimation for Dehydration of Beetroot Slices using Artificial Neural Network
... alternative method for drying of food materials with advantages of retention of gloss, texture & colour of dried ...products. Artificial neural network is emerging as a modeling tool for ...
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ABSTRACT: Chaos and chaos control are new theories and new fields of nonlinear dynamics. Chaotic motion
... Artificial neural network has been proved to have the characteristics of arbitrary approximation to nonlinear ...Combining artificial neural network with chaotic system, some ...
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Construction Quality Residential Project Based on Artificial Neural Network
... Pim Polesie conducts an in-depth analysis of the status quo of engineering quality and the quality of engineering construction through the evaluation re- sults of the evaluation system, and proposes reasonable quality ...
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Combined Complex-Valued Artificial Neural Network (CCVANN)
... valued artificial neural networks (CVANN) for the complex- valued pattern recognition and ...new method is called as combined complex-valued artificial neural network (CCVANN) ...
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Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning
... the neural network was created, trained, validated, and tested on the calibration data, in a further step, it was tested on our data set of clinical data (described in detail above under the “Data” ...
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Vol 5, No 1 (2013)
... on artificial intelligence algorithms. Neural network optimization based on three basic parameters topology, weights and the learning rate is a powerful ...optimal method for solving this ...
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INTERNETWORKING INDONESIA JOURNAL
... recipients. Artificial neural network (ANN) has been known for prediction based ...backpropagation method is studied to find the best solution in deciding the recipients as the application ...
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APPLICATION OF ARTIFICIAL NEURAL NETWORK IN OPTIMIZATION OF SOAP PRODUCTION
... using Neural Network programming. In this project a Neural Network was trained using a data set of solved linear programming ...trained Neural Network was used to optimize soap ...
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Artificial Neural Network
... using neural networks revolve around the myriad of ways these individual neurons can be clustered ...Biologically, neural networks are constructed in a three-dimensional world from microscopic ...of ...
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An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space
... regression, artificial neural network (back spread neural network, summed up regression neural network) and bolster vector machine (SVM) was ...(SOM) neural ...
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