Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

625 results for “Co-Training”
Set a search alert
Research ArticleOpen accessIn the abstractUsing PLC for Custom-design of a PID/PWM Program to Control a Heater TemperatureMohammad A.K. AliaThis is a practical approach to control a continuous-time process variable (temperature) using a discrete controller (PLC) and a custom-designed software control algorithm and hardware interface, in a closed-loop system. Unlike the conventionally known technique of transforming a digital control action into a proportional analogue one by a D/A converter followed by power amplifier, the control action was formed internally … …American Journal of Applied Sciences, Vol. 4, Issue 5 · 31 May 2007 · 7,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractLizard Learning Algorithm for Invariant Pattern RecognitionG. M. Rao, G. R. Babu, G. V. KumariResearches are keen to know astonishing and intricate details of the nature. Each creature has its own admiring abilities and performs their routine task in more efficient manner. The bug navigation system has drawn keen attention among research community to know how they are able to perform their routine task in utmost skillful manner. The lizard is capable of identifying … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Psychology Undergraduate Curriculum in Developing Countries: A Personal Note with Illustrations from BrazilCharles I. Abramson, Amauri B. BartoszeckIn this article we suggest various ways in which the undergraduate curriculum for psychology students can be improved in developing countries. Suggestions based on the author's experience in the northeast of Brazil include forming psychology clubs, creating community outreach programs, establishing a human subject pool, skills training, developing research-based courses and seeking outside funding. …Journal of Social Sciences, Vol. 2, Issue 4 · 31 Dec 2006 · 7,333 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 · 6,968 accessesView PDFCite
Research ArticleOpen accessIn the abstractRole of the Electronic Banking Services on the Profits of Jordanian BanksAhmad Zakaria SiamThis study aims at examining the effects of electronic banking on bank’s profitability in Jordan. How banking sector finds itself before a new fact imposed by technology revolution and digits to change their work mechanisms from traditional means to electronic means and the challenges banks face as a result. Furthermore, this study investigates the reasons behinds providing electronic banking services … …American Journal of Applied Sciences, Vol. 3, Issue 9 · 30 Sep 2006 · 8,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Automata Induction using Construction MethodMo Z. Wen, Wan MinRecurrent neural networks have recently been demonstrated to have the ability to learn simple grammars. In particular, networks using second-order units have been successfully at this task. However, it is often difficult to predict the optimal neural network size to induce an unknown automaton from examples. Instead of just adjusting the weights in a network of fixed topology, we adopt … …Journal of Mathematics and Statistics, Vol. 2, Issue 2 · 30 Jun 2006 · 7,213 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical ModelsAbdelkrim Moussaoui, Yacine Selaimia, Hadj A. AbbassiThe authors discuss the combination of an Artificial Neural Network (ANN) with analytical models to improve the performance of the prediction model of finishing rolling force in hot strip rolling mill process. The suggested model was implemented using Bayesian Evidence based training algorithm. It was found that the Bayesian Evidence based approach provided a superior and smoother fit to the … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 7,140 accessesView PDFCite
Research ArticleOpen accessIn the abstractDatComNet: Designing an Intelligent Visual Tool for Teaching Data Communication and Network Information SystemsAbdel B. Salem, Ibrahiem M.M. El Emary, Hussain F. SindiDatComNet is a tutorial tool designed to assist students in understanding the concepts of designing, implementing and managing the data communication networks. It is particularly useful for computer science and computer engineering students in computer communication network courses. The DatComNet interface is written in C++ and clips. The use of Java as the language of implementation provides platform independent access … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 6,923 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 · 30,196 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Look to Adaptive Temporal Radial Basis Function Applied in Speech RecognitionMesbahi Larbi, Benyettou AbdelkaderThis study presents new contribution towards the Adaptive Temporal Radial Basis Function (ATRBF) applied to Continuous speech recognition, in particular the recognition of phonemes like Timit Corpus. ATRBF combines features from Time Delay Neural Network (TDNN) and the advantages of Radial Basis Function (RBF). The capacity to detect the acoustic features and their independent temporal report of the temporal localisation … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Dec 2005 · 7,688 accessesView PDFCite