Search Results - (( parallel identification system algorithm ) OR ( probable distribution function algorithm ))
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An empirical study of density and distribution functions for ant swarm optimized rough reducts
Published 2011“…To describe relative probability of different random variables, Probability Density Function (PDF) and the Cumulative Density Function (CDF) are capable to specify its own characterization of Gaussian distributions. …”
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Book Chapter -
2
Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
Published 2022“…Another method is system identification which is also called experimental modeling. …”
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Thesis -
3
A Comparative Performance Analysis of Gaussian Distribution Functions in Ant Swarm Optimized Rough Reducts
Published 2011“…Coexistence, cooperation, and individual contribution to food searching by a particle (ant) as a swarm (ant) survival behavior, depict the common characteristics of both algorithms. Solution vector of ACO is presented by implementing density and distribution function to search for a better solution and to specify a probability functions for every particle (ant). …”
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Article -
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Parallel implementation of genomic sequences classification using modified gabor wavelet transform on multicore systems
Published 2012“…This paper presents the parallel implementation of the gene and exon identification of DNA sequences using the previously developed modified Gabor wavelet transform on multicore systems. …”
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Proceeding Paper -
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Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi
Published 2015“…These effects, if not controlled, would lead to large scale oscillations that would damage system components. System identification is a prerequisite to analysis of a dynamic system. …”
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6
Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
Published 2017“…The utility function is defined as the average probability of false alarm per cognitive radio user. …”
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A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
Published 2014“…In this paper the combination of linear and nonlinear models in parallel for nonlinear system identification is investigated. …”
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8
Novel distributed algorithm for coalition formation in cognitive radio networks for throughput enhancement using matching theory
Published 2017“…The utility function is defined as the average probability of false alarm per cognitive radio user. …”
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9
Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
Published 2011“…Abstract In this paper the integration of linear and nonlinear models in parallel for nonlinear system identification is investigated. …”
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Conference or Workshop Item -
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Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching
Published 2016“…The probability function of the counts is often complicated thus a method using numerical Laplace transform inversion for computing the probabilities and the renewal function is proposed. …”
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Thesis -
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Wavelet network based online sequential extreme learning machine for dynamic system modeling
Published 2013“…The proposed model used as system identification for nonlinear dynamic systems. …”
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Conference or Workshop Item -
14
Cash-flow analysis of a wind turbine operator
Published 2023“…Two-parameter Weibull type probability density function (PDF) is used to model wind profile at two locations. …”
Conference Paper -
15
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…Thereafter, a multi-objective hybrid algorithm (MOHA), an extension of the self-adaptive hybrid algorithm is proposed and tested on the established multi-objective (MO) test functions. …”
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Thesis -
16
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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Thesis -
17
Small-scale helicopter system identification model using recurrent neural networks
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Conference or Workshop Item -
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Hybrid intelligent methods for parameter identification and load frequency control in power system
Published 2014“…Where, in the first part, the coherent identification algorithm for single and multi-area power systems with disturbances is proposed. …”
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Thesis -
19
Efficient hardware design for palm-dorsa vein image enhancement
Published 2018“…Vein biometric system uses the pattern of veins in the human body as a unique identification. …”
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Thesis -
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Integrated OBF-NN models with enhanced extrapolation capability for nonlinear systems
Published 2013“…This paper proposes a nonlinear system identification using parallel linear-plus-neural network models that provide more accurate predictions on the process behavior even on extrapolated regions. …”
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