multi-layered artificial neural network
ON THE DEVELOPMENT OF NEURAL NETWORK MODELS USING DATA MINING TOOLS
... famous Artificial Neural Network (ANN) Models: Multi Layered Perceptron (MLP) model and Cascade Correlation network model developed and compared in their ability to judge the ...
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Forecasting Malaysian Exchange Rate: Do Artificial Neural Networks Work?
... for multi- layered feedforward network 3 ...the network approximates the underlying function of the training ...backpropagation neural network, the error i.e. the difference ...
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Optimization of Image Features using Artificial Bee Colony Algorithm and Multi-layered Perceptron Neural Network for Texture Classification
... feed-forward neural network used a modified ABC algorithm to select the weights and biases of the network for binary classification of MR brain ...the neural network for classification ...
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Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks
... convolutional neural network (CNN), and feature classification using the error-correcting output codes support vector machine (ECOC-SVM) ...convolutional neural network ...
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Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... Santanu &Jaya described a software prototype system in paper for disease detection based on the infected images of various rice plants. They used image growing, image segmentation techniques to detect infected parts ...
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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 ...using Artificial Neural Network [15] ...
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The Exchangeable Markov Multi-states Growth Process Incorporate with an Artificial Neural Network of Preterm Infants in an Incubator
... The artificial neural network (ANN) used to control the internal environment and closed-loop system to regulate temperature, humidity and light intensity of an incubator ...
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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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Digital Synthetic Ripple Modulator (SRM) for DC-DC Converter
... an artificial ripple me of carrier signal generation for Pulse-width modulation (PWM) control enables voltage- hysteretic modulation to be achieved in the low-voltage voltage regulator module (VRM) modules for ...
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Construction Quality Residential Project Based on Artificial Neural Network
... uses artificial neural network algorithms to learn the knowledge and “experience” of experts, and the simulation experts evaluate the construction quality of residential ...The artificial ...
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ANN Controller For Load Frequency Control
... Load Frequency Control (LFC) as a major function of Automatic Generation Control(AGC) is one of the important control problems in electric power system design and operation. Because of the increasing size, changing ...
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A Hybrid Method for Compression of Solar Radiation Data Using Neural Networks
... of neural networks, such as probabilistic neural networks (PNN), general regression neural networks (GRNN), radial basis function networks (RBF), cascade correlation and hybrid networks ...
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Estimation of groundwater level using a hybrid genetic algorithm-neural network
... evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, ...a network can be used as a viable ...
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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 ...
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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 ...an Artificial Bee Colony (ABC) ...
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Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers
... With time the numbers of fields are increasing in which deep learning can be applied. In deep learning, Convolutional Neural Networking (CNN) [1, 2] is being used for visual imagery analyzing. Object detection, ...
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Radio location of partial discharge sources : a support vector regression approach
... RBF network architecture used for PD localisation consist of three inputs, corresponding to the RSS measurement data from the three sensors, a hidden layer and an output layer with two neurons, representing PD ...
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Neural Network Priority Use of BTS for Optimizing Telecommunications in Indonesia
... The sensitivity of all variables shows considerable results so that the learning iteration process is stopped. From the output that has been obtained then the results of backpropgation data processing of the five ...
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Retina Based Biometric Identification System using Artificial Neural Network
... ABSTRACT: Artificial neural network has gained wide acceptance all over the world in the field of medical, technical ,scientific, research etc ....,the artificial neural network ...
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Review on Transformer Protection through Arti...
... the neural network based algorithm has more adaptability and is likely to be more accurate, various researchers used it for power system protection which is the main focus of this ...
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