Radial basis function neural network for 2 satisfiability programming

Alzaeemi, Shehab Abdulhabib; Mansor, Mohd. Asyraf; Kasihmuddin, Mohd Shareduwan Mohd; Sathasivam, Saratha; Mamat, Mustafa

doi:10.11591/ijeecs.v18.i1.pp459-469

Cited by 13 publications

(9 citation statements)

References 24 publications

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“…Step 3: Selection The chromosomes' arrangement is in a specific descending order according to the fitness function value, whereby the optimum chromosomes (i.e., of the highest value of fitness) will be kept only, whereas the remaining ones will be rejected. The selection probability, i p for each of the chromosomes, can be computed by utilizing this following equation: generated by these equations [30,12] , as well as m uniformly.…”

Section: Step 2: Computation Of Fitnessmentioning

confidence: 99%

Examining the Forecasting Movement of Palm Oil Price Using RBFNN-2SATRA Metaheuristic Algorithms for Logic Mining

Alzaeemi

Sathasivam

2021

IEEE Access

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RBFNN with different algorithms and the logic mining method for forecasting constitute the most significant tools and techniques, which are used to demonstrate the economic growth in the country. Upon using monthly data spanning from Jan 2016 to March 2020 for the manufacturing of palm oil, the results mainly revealed that RBFNN-2SATRAAIS is the most accurate and efficient model compared to RBFNN-2SATRAPSO and RBFNN-2SATRAGA in forecasting the price of palm oil. RBFNN-2SATRAAIS had the highest average overall accuracy (90.476190 %), followed by RBFNN-2SATRAPSO (85.71%), and RBFNN-2SATRAGA (76.19%). The results also showed that the spot price of palm oil is highly influenced by the total exports and imports, as well as the production of palm oil, its end-stocks, and Malaysia's real, effective exchange rate. By using the data mining technique based on the energy minimization technique, the logical mining task was carried out. The empirical findings provided useful insights into decision-making and policy implementations, including the formulation of strategies to help the industry in dealing with constant price fluctuations and, thereby, enabling the Malaysian palm oil industry to continue its domination over the international market.

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Section: Step 2: Computation Of Fitnessmentioning

confidence: 99%

Examining the Forecasting Movement of Palm Oil Price Using RBFNN-2SATRA Metaheuristic Algorithms for Logic Mining

Alzaeemi

Sathasivam

2021

IEEE Access

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“…The value of H ℚ RÀkSAT signifies the value of the energy concerning the absolute final energy H min ℚ RÀkSAT obtained from random-kSAT. Hence the quality of the final neuron configuration can be properly examined based on the condition [15,[20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] defined in equation 7jH…”

Section: Mathematical Model Of Discrete Hopfield Neural Networkmentioning

confidence: 99%

“…The study investigated the effectiveness of 2SAT logical rule in reducing the computational burden for RBFNN by obtaining the parameters in RBFNN. Successful implementation of kSAT as a logical representation in HNN has been proposed [26][27].…”

Section: Introductionsmentioning

confidence: 99%

Modified election algorithm in hopfield neural network for optimal randomksatisfiability representation

Abubakar

Sabri

Masanawa³

et al. 2020

Int. J. Simul. Multidisci. Des. Optim.

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Election algorithm (EA) is a novel metaheuristics optimization model motivated by phenomena of the socio-political mechanism of presidential election conducted in many countries. The capability and robustness EA in finding an optimal solution to optimization has been proven by various researchers. In this paper, modified version of EA has been utilized in accelerating the searching capacity of Hopfield neural network (HNN) learning phase for optimal random-kSAT logical representation (HNN-R2SATEA). The utility of the proposed approach has been contrasted with the current standard exhaustive search algorithm (HNN-R2SATES) and the newly developed algorithm HNN-R2SATICA. From the analysis obtained, it has been clearly shown that the proposed hybrid computational model HNN-R2SATEA outperformed other existing model in terms of global minima ratio (Zm), mean absolute error (MAE), Bayesian information criterion (BIC) and execution time (ET). The finding portrays that the MEA algorithm surpassed the other two algorithms for optimal random-kSAT logical representation.

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“…The proposed methods played an important role in the emergent of several related applications such as Very Large Scale Integration (Sathasivam et al, 2020b), Bezier reconstruction (Kasihmuddin et al, 2016), logic mining (Kho et al, 2020) and many more. In another development, Alzaeemi et al (2020) proposed 2 Satisfiability logical rule in Radial Basis Function Neural Network (RBFNN) by utilizing the value of the parameters in the hidden layers. The comparative study between HNN and RBFNN has been reported in (Mansor et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Logic Learning in Adaline Neural Network

Norani¹,

Kasihmuddin²,

Mansor³

et al. 2021

JST

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In this paper, Adaline Neural Network (ADNN) has been explored to simulate the actual signal processing between input and output. One of the drawback of the conventional ADNN is the use of the non-systematic rule that defines the learning of the network. This research incorporates logic programming that consists of various prominent logical representation. These logical rules will be a symbolic rule that defines the learning mechanism of ADNN. All the mentioned logical rule are tested with different learning rate that leads to minimization of the Mean Square Error (MSE). This paper uncovered the best logical rule that could be governed in ADNN with the lowest MSE value. The thorough comparison of the performance of the ADNN was discussed based on the performance MSE. The outcome obtained from this paper will be beneficial in various field of knowledge that requires immense data processing effort such as in engineering, healthcare, marketing, and business.

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Radial basis function neural network for 2 satisfiability programming

Cited by 13 publications

References 24 publications

Examining the Forecasting Movement of Palm Oil Price Using RBFNN-2SATRA Metaheuristic Algorithms for Logic Mining

Examining the Forecasting Movement of Palm Oil Price Using RBFNN-2SATRA Metaheuristic Algorithms for Logic Mining

Modified election algorithm in hopfield neural network for optimal randomksatisfiability representation

Logic Learning in Adaline Neural Network

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