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603 results for “Neural”
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Research ArticleOpen accessIn the abstractUsing an Adaptative Fuzzy-Logic System to Optimize the Performances and the Reduction of Chattering Phenomenon in the Control of Induction MotorM. M. Krishan, L. Barazane, A. KhwaldehProblem statement: Neural networks and fuzzy inference systems are becoming well-recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance. Also, by combining these two features, more versatile and robust models, called “neuro-fuzzy” architectures have been developed. The mo Approach: Motivation behind the use of neuro-fuzzy approaches was based on … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Packet Transmission Data over IP Networks Using Adaptive Neuro-Fuzzy Inference SystemsSamira Chabaa, Abdelouhab ZeroualProblem statement: The statistical modeling for predicting network traffic has now become a major tool used for network and is of significant interest in many domains: Adaptive application, congestion and admission control, wireless, network management and network anomalies. To comprehend the properties of IP-network traffic and system conditions, many kinds of reports based on measured network traffic data have been … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Survey of Protein Fold Recognition AlgorithmsMohammed Said Abual-Rub, Rosni AbdullahProblem statement: Predicting the tertiary structure of proteins from their linear sequence is really a big challenge in biology. This challenge is related to the fact that the traditional computational methods are not powerful enough to search for the correct structure in the huge conformational space. This inadequate capability of the computational methods, however, is a major obstacle in facing … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 6,877 accessesView PDFCite
Research ArticleOpen accessIn the abstractGraph Based Segmentation in Content Based Image RetrievalP. S. Suhasini, K. S.R. Krishna, I. V.M. KrishnaProblem statement: Traditional image retrieval systems are content based image retrieval systems which rely on low-level features for indexing and retrieval of images. CBIR systems fail to meet user expectations because of the gap between the low level features used by such systems and the high level perception of images by humans. To meet the requirement as a preprocessing step … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputation of a Single-phase Shell-Type Transformer Windings Forces Caused by Inrush and Short-circuit CurrentsM. B.B. Sharifian, R. Esmaeilzadeh, M. Farrokhifar et al.This research studies the forces on the windings of transformer due to inrush current. These forces are compared with the corresponding forces due to short-circuit of the windings. Two-dimensional finite element computation of a single-phase shell-type transformer is carried out based on the maximum permissible inrush current value where its amplitude is the same as the rated short-circuit current. To … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 7,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractBioaccumulation of Cr(III) ions by Blue Green-alga Spirulina sp. Part II. Mathematical ModelingKatarzyna Chojnacka, Piotr M. WojciechowskiIn the present paper bioaccumulation of Cr(III) ions by blue-green algae Spirulina sp. is discussed. We found that the process consisted of two stages: passive in which Cr(III) ions are bound to the surface of cells, identical with biosorption and active, metabolism-dependent, in which Cr(III) ions are transported into the cellular interior. The passive stage occurs in both living and … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 4 · 31 Dec 2007 · 8,294 accessesView PDFCite
Research ArticleOpen accessIn the abstract5-Hydroxytryptamine Induces Electrogenic Secretion in the Duodenum of Gerbil (Gerbillus cheesmani)Fawzia Y. Al-BaloolThe effect of serosally added 5-hydroxytryptamine (5-HT 100 µM) on the short circuitcurrent (Isc) across duodenum taken from fed, starved (4 days, water ad lib) and undernourished (50% control food intake for 21 days) gerbils (Gerbillus cheesmani) were investigated. The effect of the neurotoxin, tetrodotoxin (TTX 10 µM) and atropine (100µM) on the maximum increase in Isc induced by 5-HT … …American Journal of Biochemistry and Biotechnology, Vol. 3, Issue 3 · 30 Sep 2007 · 6,383 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Intelligence Based Three-Phase Unified Power Quality ConditionerMoleykutty GeorgePower quality is an important measure of the performance of an electrical power system. This paper discusses the topology, control strategies using artificial intelligent based controllers and the performance of a unified power quality conditioner for power quality improvement. UPQC is an integration of shunt and series compensation to limit the harmonic contamination within 5 %, the limit imposed by … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractANN Based DSPIC Controller for Reactive Power CompensationR.A. Jayabarathi, N.B. DevarajanIn India with a power shortage of about 10% of installed capacity, the transmission and distribution losses are relatively high. One of the reasons for the large loss is the excessive reactive loads on the primary distribution feeder. With the right amount of reactive power compensation, as system load varies, line losses can be considerably reduced. The application of Artificial … …American Journal of Applied Sciences, Vol. 4, Issue 7 · 31 Jul 2007 · 6,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractQualitative Ferromagnetic Hysteresis ModelingM. Mordjaoui, M. Chabane, B. Boudjema, R. DairaIn determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 7,076 accessesView PDFCite