Implementation of Artificial Neural Network and Fuzzy Logic for Concurrency Control in CAD Data Base

In this investigation, the cutting tool wear estimation in coated carbide tools using regression analysis, fuzzy logic and Artificial Neural Network (A–NN) is

The neural network is trained with heart disease database by using a typical feed forward neural network model and back-propagation learning algorithm which is the most

This project is a Matlab simulation of fruits categorization (grading) using artificial intelligent (AI) technique (Fuzzy Logic and Artificial Neural Network) in order

Thus the artificial neural network based Back Propagation (BP) algorithm has been proposed to generate the triggering pulses for the three phase H bridge inverter

Keywords: Artificial Neural Network (ANN), Text Mining, Back Propagation, Jacobian Matrix, Levenberg Marquardt Algorithm, Mean Square Error (MSE), Training States, Mean Square

The neural network is trained using backpropagation algorithm The knowledge stored in the neural network is used to predict the diseaseI. The knowledge stored in neural

Keywords: Artificial Neural Network (ANN), Back Propagation Network (BPN), Thunderstorm Prediction, GRIB, Best Lifted Index, Numerical Weather Prediction

This method utilises a feed-forward artificial neural network using back-propagation algorithm. The image is first pre-processed by thresholding the image to reduce