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48 results for “feed network”
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Research ArticleOpen accessIn the abstractKnowledge Representation of Ion-Sensitive Field-Effect Transistor Voltage Response for Potassium Ion Concentration Detection in Mixed Potassium/Ammonium Ion SolutionsWan Fazlida Hanim Abdullah, Mohd Alaudin Mohd Ali, Md Shabiul Islam, Masuri OthmanProblem statement: The Ion-Sensitive Field-Effect Transistor (ISFET) is a metal-oxide field-effect transistor-based sensor that reacts to ionic activity at the electrolye/membrane/gate interface. The ionic sensor faces issue of selectivity from interfering ions that contribute to the sensor electrical response in mixed solutions. Approach: We present the training data collection of ISFET voltage response for the purpose of post-processing stage neural … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,816 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Constructive Neural Network Architecture for Pattern ClassificationS. S. Sridhar, M. PonnavaikkoProblem statement: Constructive neural network learning algorithms provide optimal ways to determine the architecture of a multi layer perceptron network along with learning algorithms for determining appropriate weights for pattern classification problems. These algorithms initially start with small network and dynamically allow the network to grow by adding and training neurons as needed until a satisfactory solution is found. The … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,565 accessesView PDFCite
Research ArticleOpen accessIn the abstractFunctional Link Artificial Neural Network for Classification Task in Data MiningB. B. Misra, S. DehuriIn solving classification task of data mining, the traditional algorithm such as multi-layer perceptron takes longer time to optimize the weight vectors. At the same time, the complexity of the network increases as the number of layers increases. In this study, we have used Functional Link Artificial Neural Networks (FLANN) for the task of classification. In contrast to multiple layer … …Journal of Computer Science, Vol. 3, Issue 12 · 31 Dec 2007 · 60,797 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Air Temperatures Using Time Series Models and Neural-based AlgorithmsMahmoud M. Smadi, Farouq S. MjalliRecently, neural network models have been popular and found useful for forecasting a wide variety of time series data in many disciplines. This is due to their favorable modeling properties of simplicity, fault and noise tolerance and their capability to adapt to process changes. Nevertheless, applications in climatology have been less widespread than other disciplines such as economics. In this … …Journal of Mathematics and Statistics, Vol. 3, Issue 2 · 30 Jun 2007 · 7,272 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 accessIn the abstractHybridization of Neural Learning Algorithms Using Evolutionary and Discrete Gradient ApproachesRanadhir Ghosh, John Yearwood, Moumita Ghosh, Adil BagirovIn this study we investigated a hybrid model based on the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. Also we discuss different variants for hybrid models using the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. The Discrete Gradient … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,587 accessesView PDFCite
Research ArticleOpen accessIn the abstractMODELING ISOSTERIC HEAT OF BANANA FOAM MAT USING NEURAL NETWORK APPROACHPreeda Prakotmak, Hataitep Wongsuwan, Somchart Soponronnarit, Somkiat PrachayawarakornInformation on the adsorption isotherm and the thermodynamic properties can assist in optimizing food processing operations such as drying, packaging and storage in the assessment of the quality of food. In this study, an Artificial Neural Network (ANN) was used for modelling the water activity/Equilibrium Relative Humidity (ERH) of banana foam mat under a range of values of the Experimental … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 13 May 2014 · 6,945 accessesView PDFCite
Research ArticleOpen accessIn the abstractPREDICTION OF FIGHT OR FLIGHT RESPONSE USING ARTIFICIAL NEURAL NETWORKSAbhijit Suresh, Sai Swarna Latha, Pooja Nair, N. RadhikaThe modern society has posed several threats to the public. Public security is declining with increasing anti-social behaviour. Cases of rape and terrorist attacks have become increasingly common and there is a strong demand for a security system to control such modalities. Anti-social behaviour is a key issue of public concern. Public perceptions, however, have been improving recently. The vital … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 8,041 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomating Commercial Video Game Development using Computational IntelligenceTse Guan Tan, Jason Teo, Patricia AnthonyProblem statement: The retail sales of computer and video games have grown enormously during the last few years, not just in United States (US), but also all over the world. This is the reason a lot of game developers and academic researchers have focused on game related technologies, such as graphics, audio, physics and Artificial Intelligence (AI) with the goal … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 7,618 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Network Based Accurate Biometric Recognition and Identification of Human Iris PatternsM. Gopikrishnan, T. SanthanamProblem statement: A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Approach: Most commercial iris recognition systems use patented algorithms developed by Daugman and these algorithms are able to produce perfect recognition rates. However, published … …Journal of Computer Science, Vol. 6, Issue 10 · 10 Aug 2010 · 7,155 accessesView PDFCite