Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majahar Ali, Majid Khan

“…It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight, accompanied by the slightest iteration error, which minimizes the objective function of SRBFNN-2SAT.…”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majid Khan bin Majahar Ali, Majid Khan bin Majahar Ali

“…It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight, accompanied by the slightest iteration error, which minimizes the objective function of SRBFNN-2SAT.…”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majahar Ali, Majid Khan

“…It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight, accompanied by the slightest iteration error, which minimizes the objective function of SRBFNN-2SAT.…”
Get full text

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majahar Ali, Majid Khan

“…It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight, accompanied by the slightest iteration error, which minimizes the objective function of SRBFNN-2SAT.…”
Get full text

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Alzaeemi, Shehab Abdulhabib, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majahar Ali, Majid Khan

“…It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight, accompanied by the slightest iteration error, which minimizes the objective function of SRBFNN-2SAT.…”
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A Global African Buffalo Optimization by Azrag, M. A. K., Tuty Asmawaty, Abdul Kadir, Odili, Julius Beneoluchi, Essam, M. H. A.

“…However, the experimental result show that GABO convergence still needs improvement as it tends to have unpromising convergence towards the end of a large iteration. In any case, GABO is a promising optimization method.…”
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White Hole-Black Hole Algorithm by Suad Khairi, Mohammed, Zuwairie, Ibrahim, Hamdan, Daniyal, Nor Azlina, Ab. Aziz

“…The white hole is selected to be the worst candidate (star), and the black hole will be the best star at each iteration of the WH-BH algorithm. The CEC2014 test functions are applied to evaluate the performance of the WH-BH.…”
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FPGA implementation of simulated kalman filter optimization algorithm by Nurul Hazlina, Noordin, Zuwairie, Ibrahim, Xie, M. H.J., Rosdiyana, Samad, Nurulfadzilah, Hassan

“…This system utilizes a distributed RAM to update the intermediate variables and the output of each iteration is stored in the block RAM. The address of the block RAM is displayed on the LCD. …”
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E-management for drugstore pharmacy by Jasniah, Jamil

“…The RAD methodology was used in this project development implements iterative development which is suitable for this system requirements that changes from time to time. …”
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Comparative implementation of the benchmark Dejong 5 function using flower pollination algorithm and the African buffalo optimization by Odili, Julius Beneoluchi, Noraziah, Ahmad

“…We conclude from this study that in implementing FPA and ABO for solving the benchmark Dejong 5 problem, a population of 10 search agents and using 1000 iterations can produce effective and efficient outcomes.…”
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ANALISIS PARTIAL LEAST SQUARES REGRESI (PLS-R) PARTIAL LEAST SQUARES REGRESSION (PLS-R) ANALYSIS by , INGGRIT RABERTA, , Dr.Abdurakhman,S.Si.,M.Si.

“…To estimate the regression model parameters, Nonlinear Iterative Partial Least Squares (NIPALS) Algorithm is used. …”

Multidimensional mapping for Potts model with competing interactions by Ganikhodjaev, Nasir, Mohd Rodzhan, Mohd Hirzie

“…To perform this study, an iterative scheme similar to that appearing in real space renormalization group frameworks is established; it recovers as particular case, previous works by Ganikhodjaev et al for k = 2. …”
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Investigation Of Airflow And Heat Transfer Around A Cubic Building by Perpustakaan UGM, i-lib

“…A combination of low fluctuating velocity components and Van Leer schemes reduces the over-estimation of the production term of the turbulent kinetic energy in standard k-E turbulence models and the number of iterations, reducing the CPU time. It is shown that the pressure distribution at the windward corner of a cubic building is minimised by using this model. …”

Solutions of Emden–Fowler equations by homotopy-perturbation methods by Chowdhury, Md. Sazzad Hossien, Hashim, Ishak

“…In this work, HPM yields solutions in convergent series forms with easily computable terms, and in some cases, only one iteration leads to the high accuracy of the solutions. …”
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Concept craft cards by French, Fiona, Mancini, Clara, Sharp, Helen

“…This is a demonstration of how to use a deck of Concept Craft Cards that represent the first iteration of a toolkit for Animal-Computer Interaction (ACI) developers. …”
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A statistical method to describe the relationship of circular variables simultaneously by Hussin, A.G., Hassan, S.F., Zubairi, Y.Z.

“…Maximum likelihood estimation of parameters has been obtained iteratively by assuming that the ratios of concentration parameters are known and by choosing suitable initial values. …”

Quarter-sweep improving Modified Gauss-Seidel Method for Pricing European Option by Wei, Sin Koh, Jumat Sulaiman, Rasid Mail

“…Some numerical experiments for a family of Gauss-Seidel (GS) methods such as Gauss-Seidel, Modified GaussSeidel (MGS) and Improving Modified Gauss-Seidel (IMGS) methods are performed with each full-, half-, and quarter-sweep iterations. Thus, from the numerical results obtained, we can show that the QSIMGS method is the most effective method…”
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Analytical solutions of boundary values problem of 2D and 3D Poisson and biharmonic equations by homotopy decomposition method by Atangana, Abdon, Kilicman, Adem

“…The method does not require any corrected function or any Lagrange multiplier and it avoids repeated terms in the series solutions compared to the existing decomposition method including the variational iteration method, the Adomian decomposition method, and Homotopy perturbation method. …”
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A new formulae of variable step 3-point block BDF method for solving stiff ODEs by Abasi, Naghmeh, Suleiman, Mohamed, Ismail, Fudziah, Ibrahim, Zarina Bibi, Musa, Hamisu, Abbasi, Neda

“…The strategy involved in the developed method is to control the step size at each iteration to optimize the precision and produce three solution values simultaneously at each step. …”
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On the efficiencies of the IMSS1 method for bounding polynomial zeros simultaneously by Mohammad Rusli, Syaida Fadhilah, Monsi, Mansor, Hassan, Nasruddin, Md. Ali, Fadzilah

“…This method is tested numerically in terms of CPU times and number of iterations of which comparison for both methods will be presented. …”
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