[PDF] Top 20 E-learning System Based on Neural Networks
Has 10000 "E-learning System Based on Neural Networks" found on our website. Below are the top 20 most common "E-learning System Based on Neural Networks".
E-learning System Based on Neural Networks
... current E-Learning systems have many merits, many of them only treat advanced information technology as simple communication tools, and release some learning contents and exercises in the ... See full document
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A Back Propagation Type Neural Network Architecture for Solving the Complete n × n Nonlinear Algebraic System of Equations
... forward neural nonlinear system solvers trained by the back propagation algorithm that uses fixed learning ...The networks have been de- signed in such a way that the total input to a ... See full document
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Towards a Standard-based Domain-specific Platform to Solve Machine Learning-based Problems
... Since our goals are compatible with both criteria, we have created a new DSL based on common elements used to describe the structural part of a feedforward neural network. To that end, we have used the ... See full document
7
E-Learning And Instructional Management System Based On Local Computer Networks And Internet
... Dr. Heshmat Aglan, a professor of Mechanical Engineering, serves as the Associate Dean of the College of Engineering at Tuskegee University. He is a licensed engineer in the States of Alabama and Ohio. He spearheaded the ... See full document
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CHANNEL ESTIMATION OF OFDM BASED SYSTEM USING PILOT ASSISTED NEURAL NETWORKS
... The performance of ANN for channel estimation for the OFDM based 802.11a WLAN using BPSK modulation with a code rate of ¾ was superior as compared to estimation by channel impulse response. Also the ANN showed ... See full document
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Artificial Intelligence Technique for Speech Recognition Based on Neural Networks
... Neural network estimation was carried out as follows. There have been several runs of the system (here are the results for 20 runs). In each run was chosen as the test case with the worst result and ... See full document
6
The Application of Neural Network in Multiple Object Tracking
... Deep neural networks have been successfully applied to image classification [5], object detection [6], image annotation [7] and other fields, and achieved reliable ...deep neural network learns more ... See full document
7
Fingerprint Recognition with Artificial Neural Networks: Application to E Learning
... election system, medical file, ...online learning system (E-learning) whose purpose is to enable secure access, including learners located at long distances from the place of ... See full document
11
Deep Learning as a Frontier of Machine Learning: A Review
... Deep neural network is a variant of multilayer feed-forward artificial neural ...neural networks. First, the issue of overfitting which is common in many neural network models and ... See full document
9
Performance Evaluation of Fuzzy and Neuro Fuzzy Based Image Fusion
... Logic System and Sugeno type FLS with varying number of membership ...wavelet based fusion techniques, fuzzy logic approach, artificial neural network image fusion along with united methods to be ... See full document
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Motor Learning Based on the Cooperation of Cerebellum and Basal Ganglia for a Self Balancing Two Wheeled Robot
... of learning control theory, professor Wang proposed a kind of hybrid algorithm aiming at the obstacle avoidance problem of robot ...a neural fuzzy system with mixed coarse learning and fine ... See full document
12
Deep Belief Networks Using Convolution Neural Networks Algorithm
... deep learning is not new to higher educatio n. However, deep learning has drawn more attention in recent years as institutions attempt to tap their student’s full learning ...a learning model, ... See full document
8
An investigation of machine learning based prediction systems
... machine learning techniques with a LSR model for predicting software project ...con®guring neural nets tend to rather counteract their superior performance in terms of ... See full document
8
A System for Diagnosis of Coronary Artery Disease based on Neural Networks and Machine Learning Algorithms
... several learning algorithms to build a stronger ...machine learning used to reduce imbalances as well as ...usually based on the accuracy of ... See full document
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... Forward Neural Network in the sense that it maps states into states instead of input to ...Hopfield networks have memory and therefore can store a set of unit outputs or system information state for ... See full document
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Online Self Tuning PID Control Using Neural Network for Tracking Control of a Pneumatic Cylinder Using Pulse Width Modulation Piloted Digital Valves
... a neural network (denoted as STNPID controller) using back propagation ...apply neural networks for online tuning of the PID controller’s gains in a way of human tune the gains depending on the ... See full document
14
Machine Learning in Delay Tolerant Networks: Algorithms, Strategies, and Applications
... Q-learning-based DTN routing protocol(QDTR) [13] translates the underwater routing problem into an MDP process to implement the Q-learning algorithm. According to this translation, the network is ... See full document
5
Group Based Neural Collaborative Filtering For E-Learning Recommender System
... deep learning methods pretty much make recommendations by learning the content features of things, for example, content of text also, the range of ...feature learning is difficult to ...deep ... See full document
5
Review Paper Based on Machine Learning in Smart Irrigation System using Self-Organizing Maps and Hidden Markov Model
... Nikhil Agarwal, et al (2015) states that this paper depend on the home mechanization system in cost effective manner, by using efficient components like arduino MCs, Raspberry Pi, relay and Xbee modules. Python ... See full document
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THE ROLE OF INFORMATION TECHNOLOGY ON THE GROWTH OF FIRMS: A VALUE ADDED ONSIDERATION
... pages based on their contents is useful to the search engines to give appropriate and desired data to the ...Artificial Neural Network (ANN) is trained to classify the web ...methods based on ... See full document
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