196 results for “Propagation”

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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 · 6,962 accessesView PDF Cite

Research ArticleOpen accessIn the abstractControl of Phenolic Compound Secretion and Effect of Growth Regulators for Organ Formation from Musa spp. cv. Kanthali Floral Bud ExplantsSoubir Titov, Salil Kumar Bhowmik, Ajoy Mandal et al.The study was undertaken to examine banana cv. Kanthali floral bud apex as an alternative source material for in vitro propagation because huge number of explants die due to microbial contamination in case of shoot tip explants. Contamination free cultures were established by treating the floral bud explants with 0.1% HgCl2 for 6 min. This study found that inflorescence tissues … …American Journal of Biochemistry and Biotechnology, Vol. 2, Issue 3 · 30 Sep 2006 · 7,742 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDigital Hardware Implementation of a Neural System Used for Nonlinear Adaptive PredictionHassène Faiedh, Chokri Souani, Kholdoun Torki, Kamel BesbesNeural networks have been widely used for many applications in digital communications. They are able to give solutions to complex problems due to their nonlinear processing and their learning and generalization. Neural networks are one of the key technologies for the communication domain and accordingly a special effort may be expected to be paid to real time hardware implementation issues. … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,763 accessesView PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractEnergy and Carbon Flux Coupling: Multi-ecosystem Comparisons Using Artificial Neural NetworkAssefa M. Melesse, Rodney S. HanleyA multi-ecosystems carbon flux simulation from energy fluxes is presented. A new statistical learning technique based on Artificial Neural Network (ANN) back propagation algorithm and multi-layer perceptron architecture was used in the CO2 simulation. Four input layers (net radiation, soil heat flux, sensible and latent heat flux) were used for training (calibration) and testing (verification) of model outputs. The 15-days … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,347 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFinite Element Evaluation of RC Frames Strengthened with FRPs under Fire and Lateral LoadsReza Salehi, Abbas AkbarpourReinforced concrete is one of the most common structures in the world. These structures may be under extreme loading conditions such as earthquake or they may confront with other flooding, impact or even the fire load. In the term of fire load, RC structures are very sensitive and due to the brittle behavior, the fast collapsing happens. In this research, … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 27 Sep 2020 · 6,702 accessesView PDF Cite