封面图片

Maximum 2-satisfiability in radial basis function neural network

Maximum k-Satisfiability (MAX-kSAT) is the logic to determine the maximum number of satisfied clauses. Correctly, this logic plays a prominent role in numerous applications as a combinatorial optimization logic. MAX2SAT is a case of MAX-kSAT and is written in Conjunctive Normal Form (CNF) with two v...

Saved in:

书目详细资料
Main Authors:	Shehab Abdulhabib Alzaeemi,, Saratha Sathasivam,, Mohd Shareduwan Mohd Kasihmuddin,, Mohd. Asyraf Mansor,
格式:	Article
语言:	English
出版:	Penerbit Universiti Kebangsaan Malaysia 2020
在线阅读:	http://journalarticle.ukm.my/15097/1/jqma-16-1-paper11.pdf http://journalarticle.ukm.my/15097/ http://www.ukm.my/jqma/current.html
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Systematic boolean satisfiability programming in radial basis function neural network
由: Mansor, M. A., et al.
出版: (2020)

Discrete hopfield neural network in restricted maximum k-satisfiability logic programming
由: Mohd Shareduwan Mohd Kasihmuddin,, et al.
出版: (2018)

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
由: Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, et al.
出版: (2023)

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
由: Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, et al.
出版: (2023)

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
由: Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, et al.
出版: (2023)

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
由: Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, et al.
出版: (2023)

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
由: Alzaeemi, Shehab Abdulhabib, et al.
出版: (2023)

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
由: Alzaeemi, Shehab Abdulhabib, et al.
出版: (2023)

Discrete mutation hopfield neural network in propositional satisfiability
由: Mohd. Kasihmuddin, Mohd. Shareduwan, et al.
出版: (2019)

Novel random k Satisfiability for k ≤ 2 in hopfield neural network
由: Saratha Sathasivam,, et al.
出版: (2020)

K satisfiability programming by using estimation of distribution algorithm in Hopfield neural network
由: Ahmad Rasli, Norul Fazira, et al.
出版: (2020)

Hybridized Intelligent Neural Network Optimization Model for Forecasting Prices of Rubber in Malaysia
由: Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, et al.
出版: (2023)

Logic Programming In Radial Basis Function Neural Networks
由: Hamadneh, Nawaf
出版: (2013)

Posture recognition using radial basis function neural network
由: Mohd Asraf bin Ariffin
出版: (2023)

Face detection using radial basis function neural networks
由: Abdullah, Shahrum Shah, et al.
出版: (2008)

Effect of negative campaign strategy of election algorithm in solving optimization problem
由: Hamza Abubakar,, et al.
出版: (2020)

An active learning approach for radial basis function neural networks
由: Abdullah, S. S., et al.
出版: (2006)

Face detection using radial basis function neural networks
由: A. Aziz, Khairul Azha
出版: (2008)

Robust neural network predictors using radial basis functions
由: Siti Hajar Salleh,
出版: (1998)

Gold price prediction using radial basis function neural network
由: Mohd. Hussein, Shamsul Faisal
出版: (2010)

Sliding Window for Radial Basis Function Neural Network Face Detection
由: Mohamood, Nadzrie, et al.
出版: (2014)

Randomised Alpha-Cut Fuzzy Logic Hybrid Model in Solving 3-Satisfiability Hopfield Neural Network
由: Farah Liyana, Azizan, et al.
出版: (2023)

Hybridized Intelligent Neural Network Optimization Model for Forecasting Prices of Rubber in Malaysia
由: Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, et al.
出版: (2023)

Gold price prediction using radial basis function neural network
由: Hussein, S. F. M., et al.
出版: (2011)

Radial basis function neural network learning with modified backpropagation algorithm
由: Tukur, Usman Muhammad
出版: (2014)

Enhanced radial basis function neural networks for ozone level estimation
由: Ha, Quang P., et al.
出版: (2015)

Determining the preprocessing clustering algorithm in radial basis function neural network
由: S.L. Ang,, et al.
出版: (2008)

Classification of Mammogram Images Using Radial Basis Function Neural Network
由: Ashraf Osman, Ibrahim, et al.
出版: (2020)

Modelling magneto-rheological damper using radial basis function neural network
由: Mohd Fikri, Arifin
出版: (2013)

Fault location with DGs in radial distribution system using radial basis function neural network
由: Abd. Khalid, Saifulnizam, et al.
出版: (2021)

Elevator traffic flow prediction using radial basis function neural networks
由: Abdullah, Shahrum Shah, et al.
出版: (2008)

Face recognition using fixed spread radial basis function neural network
由: A Aziz, Khairul Azha, et al.
出版: (2011)

Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network
由: Gao, Yuan, et al.
出版: (2024)

Hybridised Intelligent Dynamic Model of 3-Satisfiability Fuzzy Logic Hopfield Neural Network
由: Farah Liyana, Azizan, et al.
出版: (2023)

J-type random 2, 3 satisfiability a higher-order logical rule in discrete hopfield neural network
由: Jiang, Xiaofeng, et al.
出版: (2024)

Learning enhancement of radial basis function neural network with harmony search algorithm
由: Ahmed, Mohamed Hassan
出版: (2013)

Product Identification Using Image Processing And Radial Basis Function Neural Networks
由: Khairul Azha , A. Aziz, et al.
出版: (2015)

Prediction of pore-water pressure using radial basis function neural network
出版: (2012)

Prediction of pore-water pressure using radial basis function neural network
由: Mustafa, M.R., et al.
出版: (2012)

Forecasting Muar river water quality using radial basis function neural network
由: Abd. Jalal, Mohd. Razi
出版: (2013)