Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org

Google-based Impact Factor: 1.5
Citations h5-index & Ranking*

Journals Menu

"Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions"
written by Sai Ho Ling, Hak Keung Lam,
published by Journal of Intelligent Learning Systems and Applications, Vol.3 No.1, 2011

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques
	2021

[2]	An Integrated Expert System with a Supervised Machine Learning based Probabilistic Approach to Play Tic-Tac-Toe
	2021 IEEE 12th Annual …, 2021

[3]	A wise up visual robot driven by a self-taught neural agent
	2020

[4]	Randomised fast no-loss expert system to play tic-tac-toe like a human
	2020

[5]	Self-taught Neural Agents in Clever Game Playing
	2020

[6]	Randomised fast no‐loss expert system to play tic‐tac‐toe like a human
	Cognitive Computation and Systems, 2020

[7]	Improved technique in Tic-Tac-Toe game to minimize the condition of draw using min-max over optimal strategy
	International Journal of Scientific & Engineering Research, 2019

[8]	Modeling of Agent Cognition in Extensive Games via Artificial Neural Networks
	2018

[9]	Board Games AI
	Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction, 2018

[10]	The winning strategy of Tic Tac Toe Game model by using Theoretical Computer Science
	2017

[11]	The winner decision model of tic tac toe game by using multi-tape turing machine
	2016

[12]	A simple algorithm for designing an artificial intelligence based Tic Tac Toe game
	Pervasive Computing (ICPC), 2015 International Conference on, 2015

[13]	종료된 삼목게임의 전략 적합도 인식을 위한 진화신경망 모델
	Journal of The Korean Society for Computer Game, 2015

[14]	A" Never-Loose" Strategy to Play the Game of Tic-Tac-Toe
	Soft Computing and Machine Intelligence (ISCMI), 2014 International Conference on, 2014

[15]	유전 알고리즘을 이용한 삼목 게임 전략 분석
	한국게임학회 논문지, 2014

[16]	Analysis of Tic-Tac-Toe Game Strategies using Genetic Algorithm
	2014

[17]	Genetic Optimization of Artificial Neural Networks to Forecast Virioplankton Abundance from Cytometric Data
	Journal of Intelligent Learning Systems and Applications, 2013

[18]	A Simple Algorithm For Desig Intelligence Based Tic Ta
	2012

[19]	Genetic Algorithms for Perceptual Codes Extraction
	Journal of Intelligent Learning Systems and Applications, 2012

[1]	Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1 Advances in Intelligent Systems and Computing, 2021 DOI:10.1007/978-3-030-63128-4_47

[2]	Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1 Advances in Intelligent Systems and Computing, 2021 DOI:10.1007/978-3-030-63128-4_39

[3]	An Integrated Expert System with a Supervised Machine Learning based Probabilistic Approach to Play Tic-Tac-Toe 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2021 DOI:10.1109/UEMCON53757.2021.9666728

[4]	Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction Advances in Computer and Electrical Engineering, 2019 DOI:10.4018/978-1-5225-7368-5.ch006

[5]	Encyclopedia of Information Science and Technology, Fourth Edition 2018 DOI:10.4018/978-1-5225-2255-3.ch013

[6]	The winning strategy of Tic Tac Toe Game model by using Theoretical Computer Science 2017 International Conference on Computer, Communications and Electronics (Comptelix), 2017 DOI:10.1109/COMPTELIX.2017.8003944

[7]	The winner decision model of tic tac toe game by using multi-tape turing machine 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016 DOI:10.1109/ICACCI.2016.7732107

[8]	Analysis of Tic-Tac-Toe Game Strategies using Genetic Algorithm Journal of Korea Game Society, 2014 DOI:10.7583/JKGS.2014.14.6.39

[9]	A "Never-Loose" Strategy to Play the Game of Tic-Tac-Toe 2014 International Conference on Soft Computing and Machine Intelligence, 2014 DOI:10.1109/ISCMI.2014.13

[10]	Genetic Optimization of Artificial Neural Networks to Forecast Virioplankton Abundance from Cytometric Data Journal of Intelligent Learning Systems and Applications, 2013 DOI:10.4236/jilsa.2013.51007

[11]	Genetic Algorithms for Perceptual Codes Extraction Journal of Intelligent Learning Systems and Applications, 2012 DOI:10.4236/jilsa.2012.44026

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Intelligent Learning Systems and Applications

Journal of Intelligent Learning Systems and Applications

Journals Menu

Home

About SCIRP

Service

Policies