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65 articles for “back-propagation”
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Research ArticleOpen accessIn the abstractLecturer Performance Analysis using Multiple ClassifiersHawraz Ahmad, Tarik RashidLecturer performance analysis has enormous influence on the educational life of lecturers in universities. The existing system in universities in Kurdistan-Iraq is conducted conventionally, what is more, the evaluation process of performance analysis of lecturers is assessed by the managers at various branches at the university andin view of that, in some cases the outcomes of this process cause a … …Journal of Computer Science, Vol. 12, Issue 5 · 13 Jun 2016 · 7,850 accessesView PDFCite
HypothesisOpen accessIn the abstractReal-Time Automatic Inspection System for the Classification of PCB Flux DefectsAng Teoh Ong, Aouache Mustapha, Zulkifilie Bin Ibrahim et al.Automatic inspection based on a real-time machine vision system may serve as substitute for the manual human visual inspection of flux defects in Printed Circuit Boards (PCBs), which often cause damage on the board in the form of corrosions that harm the assembly. The concept of automatic inspection contributes to the improvement of the manufacturing quality of PCBs and facilitates … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 25 Aug 2015 · 8,712 accessesView PDFCite
Research ArticleOpen accessIn the abstractVHDL DESIGN AND HARDWARE REALIZATION OF HYBRIDARTIFICIAL INTELLIGENCE ARCHITECTURERajeswaran Nagalingam, Tenneti Madhu, Munagala SuryakalavathiEvolutionary Algorithms (EA) use Genetic Algorithm (GA) in many optimization problems to efficiently compute the function value in less time. In this study the weight optimization of the Artificial Neural Net-work (ANN), using the Back Propagation Network (BPN), is tested and presented with GA. The combined architecture of Neuro-Genetic (Hybrid Artificial Intelligence) approach is proposed and simulated results are provided … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 24 Feb 2014 · 6,570 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETERMINATION OF EPILEPTIC DISORDER WITH DISCRETE WAVELET TRANSFORMS AND NEURAL NETWORK CLASSIFIERS. T. Sadish Kumar, N. KasthuriNowadays Epileptic disorder is a most challenge aspects in brain activation. Electroencephalograph (EEG) is one of the popular procedures to understand the human brain condition. The activation of brain will be changed due to the symptoms of neurological disorder. We have been proposed a procedure to find epilepsy disorder, using discrete wavelet transform and neural network classifier. The EEG classification … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,663 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Ensemble Prediction Algorithms for Detecting Faulty Modules in Object Oriented Systems Using Quality MetricsM. Punithavalli, C. NeelamegamThe high usage of software system poses high quality demand from users, which results in increased software complexity. To address these complexities, software quality engineering methods should be updated accordingly and enhance their quality assuring methods. Fault prediction, a sub-task of SQE, is designed to solve this issue and provide a strategy to identify faulty parts of a program, so … …Journal of Computer Science, Vol. 8, Issue 12 · 20 Dec 2012 · 6,438 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybridization of Enhanced Artificial Bee Colony-Least Squares Support Vector Machines for Price ForecastingZuriani Mustaffa, Yuhanis YusofProblem statement: As the performance of Least Squares Support Vector Machines (LSSVM) is highly rely on its value of regularization parameter, γ and kernel parameter, σ2, man-made approach is clearly not an appropriate solution since it may lead to blindness in certain extent. In addition, this technique is time consuming and unsystematic, which consequently affect the generalization performance of LSSVM. … …Journal of Computer Science, Vol. 8, Issue 10 · 28 Aug 2012 · 6,802 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Based Rotor Capacitive Reactance Control for Energy Efficient Wound Rotor Induction MotorK. Ranjith Kumar, S. Palaniswami, K. Siva KumarProblem statement: The Rotor reactance control by inclusion of external capacitance in the rotor circuit has been in recent research for improving the performances of Wound Rotor Induction Motor (WRIM). The rotor capacitive reactance is adjusted such that for any desired load torque the efficiency of the WRIM is maximized. The rotor external capacitance can be controlled using a dynamic … …Journal of Computer Science, Vol. 8, Issue 7 · 26 May 2012 · 7,166 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach for Detecting Stego Content in Corporate Mail Using Neural Network Based Simplified-Data Encryption Standard AlgorithmP. T. Anitha, M. Rajaram, S. N. SivanandhamProblem statement: The major growth of information technology is based on the security measures implemented. Steganography is a method which is used to give high level security. Approach: Today, email management and email authenticity must be unquestionable with strong chains of custody, constant availability and tamper-proof security. A secure communication can be achieved through neural based steganography. Email is insecure. … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 12 Mar 2012 · 7,137 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Extraction and Classification of Blood Cells Using Artificial Neural NetworkMagudeeswaran Veluchamy, Karthikeyan Perumal, Thirumurugan PonuchamyProblem statement: One method of evaluating the clinical status is counting of cell types based on features that it contains. There is a need for a rapid, reproducible method, superior to human inspection and for the classification of cells. For solving these problems, quantitative digital-image analysis is applied and a novel method for classifications of affected blood cells from normal … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 18 Feb 2012 · 8,159 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Pan Evaporation Coefficient using Neuro-Genetic ApproachPakorn Ditthakit, Chaiyuth ChinnarasriProblem statement: The pan evaporation coefficient (Kp) is used to convert pan Evaporation (Ep) to reference Evapotranspiration (ETo) due to its simplicity and suitability for locations with limited availability of meteorological data. Approach: This study presents the use of neuro-genetic approach for estimating Kp for Class A pan and Colorado Sunken pan under green and dry fetch conditions. Results: Representative … …American Journal of Environmental Sciences, Vol. 7, Issue 4 · 10 Oct 2011 · 7,212 accessesView PDFCite