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Research ArticleOpen accessIn the abstractDynamic Analysis of Structures Using Neural NetworksN. Ahmadi, R. Kamyab Moghadas, A. LavaeiIn the recent years, neural networks are considered as the best candidate for fast approximation with arbitrary accuracy in the time consuming problems. Dynamic analysis of structures against earthquake has the time consuming process. We employed two kinds of neural networks: Generalized Regression neural network (GR) and Back-Propagation Wavenet neural network (BPW), for approximating of dynamic time history response of … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,154 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransient Stability Assessment of a Power System Using Probabilistic Neural NetworkNoor Izzri Abdul Wahab, Azah MohamedThis study presents transient stability assessment of electrical power system using Probabilistic Neural Network (PNN) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9-bus test system considering three phase faults on the system. The data … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,027 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Generation ART-1 Neural Network with Gradient-Descent Method Aid for Latin Alphabet RecognitionMbaïtiga ZacharieProblem statement: In this study a self-generation ART-1 neural network that is an efficient algorithm that emulates the self-organizing pattern recognition developed to avoid the stability-plasticity dilemma in competitive networks learning, is presented for Latin alphabet recognition to use in a vision system for road sings recognition. Approach: The first step of our approach deals with the training process where … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,566 accessesView PDFCite
Research ArticleOpen accessIn the abstractDirect Model Reference Adaptive Controller Based-On Neural-Fuzzy Techniques for Nonlinear Dynamical SystemsHafizah Husain, Marzuki Khalid, Rubiyah YusofThis paper presents a direct neural-fuzzy-based Model Reference Adaptive Controller (MRAC) for nonlinear dynamical systems with unknown parameters. The two-phase learning is implemented to perform structure identification and parameter estimation for the controller. In the first phase, similarity index-based fuzzy c-means clustering technique extracts the fuzzy rules in the premise part for the neural-fuzzy controller. This technique enables the recruitment … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 6,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Cost Estimation Model for Repair Bridges Based on Artificial Neural NetworkMohamed Bouabaz, Mounir HamamiEstimating the total cost of bridges repair and maintenance with high accuracy is an important components, and points to a need for a cost estimation model. This paper focuses on the development of a more accurate estimation model for repair and maintenance of bridges in developing countries using artificial neural networks. Cost and design data for two categories of repair … …American Journal of Applied Sciences, Vol. 5, Issue 4 · 30 Apr 2008 · 7,298 accessesView PDFCite
Research ArticleOpen accessIn the abstractWomen Empowerment through Participation in Aquaculture: Experience of a Large-scale Technology Demonstration Project in BangladeshM. Hammadur Rahman, Kazi NaorozeThe paper investigated rural women’s empowerment through participation in aquaculture activities within a large scale demonstration project in Bangladesh. The paper is based on farm level data collected from 200 women in two districts of Bangladesh. A questionnaire was used for the purpose of data collection and data gathering spanned a period of four months, (September to December) in 2004. … …Journal of Social Sciences, Vol. 3, Issue 4 · 31 Dec 2007 · 8,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractSupport Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power TransformerV. Malathi, N. S. MarimuthuThis study presents a novel technique based on Support Vector Machine (SVM) for the classification of transient phenomena in power transformer. The SVM is a powerful method for statistical classification of data. The input data to this SVM for training comprises fault current and magnetizing inrush current. SVM classifier produces significant accuracy for classification of transient phenomena in power transformer. …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 6,737 accessesView PDFCite
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 abstractEntrepreneurships Barriers of Pond Fish Culture in Bangladesh- A Case Study from Mymensingh DistrictMd A. Sarker, Ataharul H. Chowdhury, Yoshihito ItoharaThe main purpose of the study was to identify the major barriers of pond fish culture entrepreneurships in Bangladesh. The population of the study consisted of all 285 fish farmers of the selected villages of Muktagacha upazila (sub-district) of Mymensingh district. Needed data were collected with questionnaire by personal interviewing of the respondents. Result shows that lack of technical knowledge … …Journal of Social Sciences, Vol. 2, Issue 3 · 30 Sep 2007 · 7,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractStress and Job Satisfaction among Air Force Military PilotsKhodabakhsh Ahmadi, Kolivand AlirezaStress induces impairment of performance is a relatively common issue in pilots of military aviation. The present study aimed at gathering preliminary data on the relationship between stress and job satisfaction among military pilots, so determine to what extent military pilots suffering from job satisfaction. This study was cross- sectional in design and used survey methodology. The survey was offered … …Journal of Social Sciences, Vol. 3, Issue 3 · 30 Sep 2007 · 10,957 accessesView PDFCite