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51 articles for “propagation algorithm”
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Research ArticleOpen accessIn the abstractCombustion Analysis of a CI Engine Performance Using Waste Cooking Biodiesel Fuel with an Artificial Neural Network AidGholamhassan NAJAFI, Barat GHOBADIAN, Talal F. YUSAF, Hadi RAHIMIA comprehensive combustion analysis has been conducted to evaluate the performance of a commercial DI engine, water cooled two cylinders, in-line, naturally aspirated, RD270 Ruggerini diesel engine using waste vegetable cooking oil as an alternative fuel. In order to compare the brake power and the torques values of the engine, it has been tested under same operating conditions with diesel … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 8,192 accessesView PDFCite
Research ArticleOpen accessIn the abstractSegmentation and Recognition of Handwritten Numeric ChainsSalim Ouchtati, Mouldi Bedda, Abderrazak LachouriAutomatic reading of numeric chains has been attempted in several application areas such as bank cheque processing, postal code recognition and form processing. Such applications have been very popular in handwriting recognition research, due to the possibility to reduce considerably the manual effort involved in these tasks. In this study we propose an off line system for the recognition of … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric ModelsAbdel K.M. Baareh, Alaa F. Sheta, Khaled A. KhnaifesForecasting a time series became one of the most challenging tasks to variety of data sets. The existence of large number of parameters to be estimated and the effect of uncertainty and outliers in the measurements makes the time series modeling too complicated. Recently, Artificial Neural Network (ANN) became quite successful tool to handle time series modeling problem. This paper … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital Hardware Implementation of a Neural System Used for Nonlinear Adaptive PredictionHassène Faiedh, Chokri Souani, Kholdoun Torki, Kamel BesbesNeural networks have been widely used for many applications in digital communications. They are able to give solutions to complex problems due to their nonlinear processing and their learning and generalization. Neural networks are one of the key technologies for the communication domain and accordingly a special effort may be expected to be paid to real time hardware implementation issues. … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,763 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnergy and Carbon Flux Coupling: Multi-ecosystem Comparisons Using Artificial Neural NetworkAssefa M. Melesse, Rodney S. HanleyA multi-ecosystems carbon flux simulation from energy fluxes is presented. A new statistical learning technique based on Artificial Neural Network (ANN) back propagation algorithm and multi-layer perceptron architecture was used in the CO2 simulation. Four input layers (net radiation, soil heat flux, sensible and latent heat flux) were used for training (calibration) and testing (verification) of model outputs. The 15-days … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,347 accessesView PDFCite
Research ArticleOpen accessIn the abstractModels for Mixed Ensemble of Hydrometeors and their Use in Calculating the Total Random Cross Section of a Resolution Volume Filled by Random ScatterersAyman Al-Lawama, Salaheddin Malkawi, Abdullah Al-Odienat, Felix YanovskyFlight safety is of a major concern in aircrafts since the beginning of air traffic. One of the problems threatening the safety is the in-flight icing of the aircraft. This research deals with a problem arises in the context of weather aviation maintenance. Methods of aircraft icing are based on the difference in behavior of the polarization of radar signal … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 6,802 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Regularization in a Neural Network Model to Estimate Lines of Code Using Function PointsK. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala PuriIt is a well known fact that at the beginning of any project, the software industry needs to know, how much will it cost to develop and what would be the time required ? . This paper examines the potential of using a neural network model for estimating the lines of code, once the functional requirements are known. Using the … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 30,191 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Hybrid Clustering Process using a Genetic Fuzzy System for the Knowledge Base of a Fuzzy Rule-Based SystemHamedoun Lamiae, Attariuas Hicham, Ben Maati Mohamed LarbiThe present paper proposes a new Hybrid clustering Process based on Fuzzy Genetic System. The proposed Approach consists of two steps: (1) Using a method called Fuzzy clustering, all data elements will be clustered into N groups; (2) utilizing a Fuzzy Genetic System, for every level the fuzzy rule of adhesion will be generated. If we compare our research to … …Journal of Computer Science, Vol. 12, Issue 12 · 6 Feb 2017 · 6,644 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordData Optimization with Multilayer Perceptron Neural Network and Using New Pattern in Decision Tree ComparativelyMurat Kayri, Omay CoklukProblem statement: The aim of the present study is to exemplify the use of Artificial Neural Networks (ANN) for parameter prediction. Missing value or unreal approach to some questions in scale is a problem for unbiased findings. To learn a real pattern with ANN provides robust and unbiased parameter estimation. Approach: To this end, data was collected from 906 students … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,200 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordStochastic Estimator-Based Wireless Traffic Control SchemesFrancis Joseph Ogwu, Mohammad Talib, Ganiyu Adesola AderounmuRecent works on Available Bit Rate (ABR) traffic control have generated efficient control schemes for ABR traffic on Asynchronous Transfer Mode (ATM) network. This study examines the improved performance envisaged if these control schemes adjust dynamically to the varying ABR bandwidth capacity in a stochastic manner instead of conventional deterministic approach .The performance difference between setting explicit rate deterministically for … …Journal of Computer Science, Vol. 3, Issue 12 · 31 Dec 2007 · 7,099 accessesView PDFCite