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168 results for “Hybrid algorithm”
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Research ArticleOpen accessIn the abstractAdaptive Neuro-Fuzzy Inference System-Particle Swarm Optimization Based Stability Maintenance of Power System NetworksR. Latha, J. KanakarajDuring faulty condition voltage instability is one of the major crisis in power system networks. This study proposes a hybrid learning algorithm to improve the stability performance of a power system with Distributed Generations (DGs). Here the distribution system stability is maintained with reduced power loss using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO) techniques. In … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Product Multi-Constraint Inventory Control Systems with Stochastic Replenishment and Discount under Fuzzy Purchasing Price and Holding CostsAta Allah Taleizadeh, Seyed Taghi Akhavan Niaki, Mir-Bahador AryanezhadWhile in multi-periodic inventory control problems the usual assumption are that the orders are placed at the beginning of each period (periodic review) or depending on the inventory level they can happen at any time (continuous review), in this research, we relax these assumptions and assume that the periods between two replenishments of the products are independent and identically distributed … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 8,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractInclusion Identification by Inverse Application of Boundary Element Method, Genetic Algorithm and Conjugate Gradient MethodMahmud Khodadad, Mohsen Dashti ArdakaniCharacterization of the interior of an inhomogeneous body using displacement measurements obtained by conducting a simple tension test was investigated. A homogeneous elastic solid body is assumed to have another solid body with arbitrary shape hidden inside it. The shape and physical properties of this inclusion were unknown. The Boundary Element Method (BEM) coupled with a mete heuristic Genetic Algorithm … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 6,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractSugarcane Phenological Date Estimation Using Broad-Band Digital CamerasMobasheri, M. Chahardoli, J. Jokar, M. FarajzadehIn the agricultural industry, precision farming is the most important task that attracts lots of attentions. The health of the plant depends mostly on the amount of water in its access that can be estimated through vegetation indices. These indices can be extracted from satellite images through Image processing algorithms. The objective of this research was to provide an equation … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 2 · 30 Jun 2008 · 7,962 accessesView PDFCite
EditorialOpen accessIn the abstractNew Kind of Statistical MethodsCagdas Hakan AladagAladag, C.H. and E. Egrioglu, 2012. Advanced Time Series Forecasting Methods. In: Advances in Time Series Forecasting, Aladag, C.H. and E. Egrioglu (Eds.), Bentham Science Publishers, Oak Park, ISBN-10: 1608053733. Aladag, C.H., 2011. A Hybrid Intelligent Technique Combines Neural Networks and Tabu Search Methods for Forecasting, Computer Search Algorithms. 1st Edn., Nova Publisher, ISBN: 978-1-61209-043-6. Aladag, C.H., E Egrioglu, U. … …Journal of Mathematics and Statistics, Vol. 10, Issue 4 · 28 Nov 2014 · 7,591 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegration of Artificial Neural Network and Expert System for Material Classification of Natural Fibre Reinforced Polymer CompositesBasheer Ahmed Ahmed Ali, Mohd Sapuan Salit, Edi Syams Zainudin, Mohamed OthmanDiversified choice of materials from natural fibre reinforced polymer composites with similar properties complicate the materials selection for engineering products. Implementation of expert system alone makes it difficult to scrutinize the vast selected materials. Hybrid of expert system with neural network technology is desired. Classification of material through neural network under various criteria influences the decision in narrowing down the … …American Journal of Applied Sciences, Vol. 12, Issue 3 · 29 Apr 2015 · 7,438 accessesView PDFCite
Research ArticleOpen accessIn the abstractESTIMATED AND ANALYSIS OF THE RELATIONSHIP BETWEEN THE ENDOGENOUS AND EXOGENOUS VARIABLES USING FUZZY SEMI-PARAMETRIC SAMPLE SELECTION MODELL. MuhamadSafiih, A. A. Kamil, M. T. Abu OsmanAn important progress within the last decade in the development of the selectivity model approach to overcome the inconsistent results if the distributional assumptions of the errors terms are made this problem is through the use of semi-parametric method. However, the uncertainties and ambiguities exist in the models, particularly the relationship between the endogenous and exogenous variables. A new framework … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 15 Jul 2014 · 6,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractDEVELOPMENT OF A MACHINE VISION SYSTEM FOR WEED DETECTION DURING BOTH OF OFF-SEASON AND IN-SEASON IN BROADACRE NO-TILLAGE CROPPING LANDSHuajian Liu, Sang Heng Lee, Chris SaundersMore than half of the Australian cropping land is no-tillage and weed control within continuous no-tillage agricultural cropping area is becoming more and more difficult. A major problem is that the heavy herbicide usage causes some of more prolific weeds becoming more resistant to the regular herbicides and therefore more powerful and more expensive options are being pursued. To overcome … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 2 · 29 Jan 2014 · 8,118 accessesView PDFCite
Research ArticleOpen accessIn the abstractPRESERVATION OF THE PRIVACY FOR MULTIPLE CUSTODIAN SYSTEMS WITH RULE SHARINGB. Murugeshwari, C. Jaya Kumar, K. SarukesiThe aim of the research work is to mine the data set available with each custodian in a semi honest model, securely without disclosure of any data amongst various custodians involved. No custodian discloses any information. In the proposed scheme in order to reduce the computational complexity, the data partitioning has been done in the horizontal way. The proposed research … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,314 accessesView PDFCite
Research ArticleOpen accessIn the abstractINJECT AN ELASTIC GRID COMPUTING TECHNIQUES TO OPTIMAL RESOURCE MANAGEMENT TECHNIQUE OPERATIONSR. Surendran, B. Parvatha VarthiniEvaluation of sharing on the Internet well- developed from energetic technique of grid computing. Dynamic Grid Computing is Resource sharing in large level high performance computing networks at worldwide. Existing systems have a Limited innovation for resource management process. In proposed work, Grid Computing is an Internet based computing for Optimal Resource Management Technique Operations (ORMTO). ORMTO are Elastic scheduling … …Journal of Computer Science, Vol. 9, Issue 8 · 9 Jul 2013 · 6,742 accessesView PDFCite