[PDF] Top 20 E Learning Optimization Using Supervised Artificial Neural Network
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E Learning Optimization Using Supervised Artificial Neural Network
... Improving learning outcome has always been an important motivating factor in educational in- ...blended learning environment where e-learning and traditional face to face class tu- toring are ... See full document
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Optimization of Medium Components Using Artificial Neural Networks
... The modeling relations between independent variables (i.e., MgSO4, K2HPO4, (NH4)2SO4 and NH4CL concentration) and dependent variable (i.e., OD) was performed using a commercial ANNs software (INForm 4.02, ... See full document
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‘Neural Network’ a Supervised Machine Learning Algorithm
... Vehicle: Artificial neural networks are capable of performing the reactive aspects of autonomous driving, such as staying on the road and avoiding ... See full document
7
Optimization of EDM Process Parameters by Using Artificial Neural Network: A Review
... task, such as reaction an input signal. When even the number of hidden neuron are linked together, then different types of task can be performed. The task take millisecond to complete the optimization. Due to this ... See full document
12
Applications of Particle Swarm Optimization
... An Artificial Neural Network, often just called a neural network, is a mathematical model inspired by biological neural ...A neural network consists of an ... See full document
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OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... algorithm optimization, consider the nonlinear neural network capacity, combining these and forming the method of evolutionary neural ...tectonic neural network learning ... See full document
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Prediction of prostate cancer by deep learning with multilayer artificial neural network
... respectively. Using trained ANNs with multiple hidden layers, the accuracy of predicting any prostate cancer in test samples was about 5–10% higher compared to that with logistic regression analysis ... See full document
13
Using Non-supervised Artificial Neural Network for Determination of Anthropogenic Disturbance in a River System
... Non-supervised artificial neural network (ANN) was employed to classify and cluster the river into upstream, middle-stream and downstream ... See full document
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Comparison of Artificial Intelligence Methods on the Example of Tea Classification Based on Signals from E nose Sensors
... radial neural networks (PNN and RBF) and fuzzy logic (ANFIS and FUZZY) obtained the best results in accuracy criteria, as they always classified all kinds of tea ...FF network exhibits greater stability ... See full document
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Convergence Optimization of Backpropagation Artificial Neural Network Used for Dichotomous Classification of Intrusion Detection Dataset
... There is divided related work into two categories, both presenting concepts of Intrusion Detection Systems (IDS) employing ANN. The first one contains papers presenting ANNs which assume only features extracted from ... See full document
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INFORMATION TECHNOLOGY FOR NUMERICAL SIMULATION OF CONVECTIVE FLOWS OF A VISCOUS INCOMPRESSIBLE FLUID IN CURVILINEAR MULTIPLY CONNECTED DOMAINS
... the network is determined by the routing algorithm [5]. Besides network accounting and monitoring, system administrators can identify various problems that may occur in the ...of supervised machine ... See full document
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Modeling and Optimization of Energy Inputs and Greenhouse Gas Emissions for Eggplant Production Using Artificial Neural Network and Multi-Objective Genetic Algorithm
... modular neural network with two hidden layers that could predict energy consumption based on farm conditions (size of crop area), social factors (farmers’ education level), and energy inputs (N and P use, ... See full document
12
Approaches in RSA Cryptosystem Using Artificial Neural Network
... the learning rate but it has more than one hidden layer, it gets ...the learning rate being able of changed between the steepest descent and the Newton algorithm depending on weather the value of the ... See full document
7
MRI brain tumor detection using artificial neural network
... an artificial neural network technique, namely feed gation neural network to classify the magnetic resonance image (MRI) into ...(GLCM). Neural ning/learning mode and ... See full document
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Predicting energy requirement for heating the building using artificial neural network
... This paper explores total heat load and total carbon emissions of a six storey building by using artificial neural network (ANN). Parameters used for the calculation were conduction losses, ... See full document
6
Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... a supervised feed-forward neural network model to forecast Japanese tourist arrivals in Hong ...the neural network contains six nodes: Ser- vice Price, Average Hotel Rate, Foreign ... See full document
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OPTIMIZATION OF THE PROCESS CONSTRAINTS IN SPARK EROSION MACHINING OF ALUMINIUM ALLOY AA 6061 HYBRID COMPOSITES USING ARTIFICIAL NEURAL NETWORK
... and neural network training and ...the neural network ...The neural network model was built using 31 experimental ...normalized using Equation 2 for balancing the ... See full document
8
Machine Learning and Deep Learning
... A Deep Neural Network consists of an input layer, severalhidden layers, and an output layer. Each layer includes severalunits called neurons. These neurons are also called as artificial neurons. A ... See full document
5
Shape Optimization of Pedestals Using Artificial Neural Network
... the neural network. For this a 2-3-1 size, back propagation neural network is ...trained network is used for predicting geometrical parameters for new testing patterns given in Table ... See full document
7
Artificial Neural Network Learning Enhancement using Bacterial Foraging Optimization Algorithm
... optimized neural network for predicting permeability based on swarm intelligent approach, named ant colony ...NN using the ...Swarm Optimization algorithm with Optimal Brain damage pruning ... See full document
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