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Mustafa Mamat
Universiti Sultan Zainal Abidin
Gradient methodMathematical optimizationNonlinear conjugate gradient methodMathematicsConjugate gradient method
241Publications
11H-index
558Citations
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Publications 256
Newest
#1Yahia Alemami (UniSZA: Universiti Sultan Zainal Abidin)
#2Mohamad Afendee Mohamed (UniSZA: Universiti Sultan Zainal Abidin)H-Index: 3
Last. Mustafa Mamat (UniSZA: Universiti Sultan Zainal Abidin)H-Index: 11
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There are various ways of social communication including writing (WhatsApp, Messenger, Facebook, Twitter, Skype, etc), calling (mobile phone) and voice recording (record your voice and then send it to the other party), but there are ways to eavesdropping the calls and voice messages, One way to solve this problem is via cryptographic approach. Chaos cryptography build on top of nonlinear dynamics chaotic system has gained some footstep in data security. It provides an alternative to conventional...
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#1Sulaiman Mohammed Ibrahim (UniSZA: Universiti Sultan Zainal Abidin)
Last. Mustafa MamatH-Index: 11
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Conjugate gradient (CG) methods are among the most efficient numerical methods for solving unconstrained optimization problems. This is due to their simplicty and less computational cost in solving large-scale nonlinear problems. In this paper, we proposed some spectral CG methods using the classical CG search direction. The proposed methods are applied to real-life problems in regression analysis. Their convergence proof was establised under exact line search. Numerical results has shown that t...
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#1Nur Syarafina Mohamed (University of Kuala Lumpur)H-Index: 1
#2Mustafa Mamat (UniSZA: Universiti Sultan Zainal Abidin)H-Index: 11
Last. Shazlyn Milleana Shaharudin (UPSI: Sultan Idris University of Education)H-Index: 1
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Hybridization is one of the popular approaches in modifying the conjugate gradient method. In this paper, a new hybrid conjugate gradient is suggested and analyzed in which the parameter is evaluated as a convex combination of while using exact line search. The proposed method is shown to possess both sufficient descent and global convergence properties. Numerical performances show that the proposed method is promising and has overpowered other hybrid conjugate gradient methods in its number of ...
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#2Mustafa MamatH-Index: 11
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#2Siti Sabariah Abas (UniSZA: Universiti Sultan Zainal Abidin)
Last. Ibrahim S. Mohammed (UniSZA: Universiti Sultan Zainal Abidin)H-Index: 1
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#1Shehab Abdulhabib Alzaeemi (Universiti Sains Malaysia)H-Index: 1
#2Mohd. Asyraf Mansor (Universiti Sains Malaysia)H-Index: 3
Last. Mustafa Mamat (UniSZA: Universiti Sultan Zainal Abidin)H-Index: 11
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Radial Basis Function Neural Network (RBFNN) is very prominent in data processing. However, improving this technique is vital for the NN training process. This paper presents an integrated 2 Satisfiability in radial basis function neural network (RBFNN-2SAT). There are two different types of training in RBFNN, namely no-training technique and half-training technique. The performance of the solutions via Genetic Algorithm (GA) training was investigated by comparing the Radial Basis Function Neura...
1 CitationsSource
Last. W. S. Mada SanjayaH-Index: 4
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Linear regression is widely used in various fields. Research on linear regression uses the OLS and ML method in estimating its parameters. OLS and ML method require many assumptions to complete. It is frequently found there is an unconditional assumption that both methods are not successfully used. This paper proposes a new method which does not require any assumption with a condition. The new method is called SAM (Simple Averaging Method) to estimate parameters in the simple linear regression m...
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Last. SubiyantoH-Index: 2
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