trained backpropagation neural network
Stock Market Prediction Model by Combining Numeric and News Textual Mining
... II. Backpropagation Algorithm in Neural Network [6] The study used three-layer (one hidden layer) multilayer feed- forward neural network model trained with ...
7
A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... prediction. Backpropagation Neural Network (BPNN) and correlation feature selection are applied in order to predict ERC which is trained and tested using 10-fold ...
5
Daily Network Traffic Prediction Based on Backpropagation Neural Network
... the network, there are 1 to 144 groups of data selected as the study samples, the 145 to 192 groups as the test samples and using the trained BPNN to ...
6
The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks
... through neural networks is composed of three steps: gambling data analysis, neural network training with backpropagation, and knowledge extraction using ...Then, network training is ...
9
Weather prediction using Neural Network Backpropagation
... using Neural Network Backpropagation (BPP) for quantitative prediction of Rainfall ...of Neural Network backpropagation is built on N different attributes as input ...is ...
6
A subjective job scheduler based on a backpropagation neural network
... the neural network is an elementary information-processing ...artificial neural network, first it is to be decided how many neurons are to be used and how the neurons are to be connected to ...
15
Machine learning in Dynamic Adaptive Streaming over HTTP (DASH)
... Artificial neural networks can be employed to solve a wide spectrum of problems in optimization, parallel computing, matrix algebra and signal processing ...the backpropagation algorithm (BA), the ...
8
Backpropagation Neural Network Experiment on Human Face Recognition
... Artificial Neural Network (ANN) experiments, the system of face recognition consists of image preprocessing, image segmentation, detection and feature extraction, localization and normalization and ...and ...
6
Indoor localization techniques using wireless network and artificial neural network
... wireless network and artificial neural network ...the trained data, while being robust to severe and non-linear propagation ...feedforward backpropagation neural network ...
37
Performance Comparison of Featured Neural Network Trained with Backpropagation and Delta Rule Techniques for Movie Rating Prediction in Multi-criteria Recommender Systems
... the network models to work faster and more efficiently, the numerically trans- formed dataset was normalized to real numbers between 0 and 1 through dividing each of the modified ratings by 13 (since 13 is the ...
6
Stock Market Prediction Model by Combining Numeric and News Textual Mining
... compromises trained multilayered feed forward neural ...network. Backpropagation is the learning algorithm for neural network ...a neural network is the set of ...
7
Neural Networks For Financial Time Series
... the network can learn to infer the relationship that binds ...the network is trained via an appropriate algorithm (usually backpropagation that is a supervised learning algorithm) that uses ...
6
Prediction of Seismic zone in India using Neural Network Algorithms
... seismology. Neural network performs a key task in the prediction of ...The neural network architecture are created with different input layer and hidden layers with deep learning optimization ...
6
APPLICATION OF CELLULAR AUTOMATA FOR MODELING AND REVIEW OF METHODS OF MOVEMENT OF A GROUP OF PEOPLE
... for backpropagation network, then they used back propagation neural network, after that they trained and tested the network using optimal weights of the best fit chromosome, to ...
13
Date Fruits Classification using MLP and RBF Neural Networks
... intelligence neural networks is given in ...via neural networks is given in ...and neural networks algorithms of the shape, color and size of the products by using processing techniques of images is ...
6
Intelligent Object and Pattern Recognition using Ensembles in Back Propagation Neural Network
... independently trained classifiers whose predictions are combined by various statistical or algebraic methods ...trees, neural networks, expert systems etc. For this thesis neural networks are used ...
8
An Inflation Rate Prediction Based on Backpropagation Neural Network Algorithm
... groups for the period 2001-2014. The results showed that both methods can be used as alternative algorithms in making predictions. Furthermore, [8] have implemented the Backpropagation Neural Network ...
6
Analysis of Backpropagation Algorithm in Predicting the Most Number of Internet Users in the World
... Artificial Neural Network ...Artificial Neural Network using Matlab R2011b ...best network architecture generated is 3-50-1 with an accuracy of 92% and the Mean Squared Error (MSE) is ...
6
Backpropagation Neural Network Based on Local Search Strategy and Enhanced Multi-objective Evolutionary Algorithm for Breast Cancer Diagnosis
... In this study, the combination of a local search scheme and enhanced NSGA-II based on BP algorithm for the classification of the Breast Cancer diagnosis implemented and done successfully. The fundamental notion of the ...
7
Spatio-Temporal Neural Data Mining Architecture in Learning Robots
... Although most robots are currently used in industry, in the next decade it is anticipated that the need for service robots for retail, leisure and health care will grow significantly [3]. However, robots are still not ...
6