The Simulation and Analysis of Image Change with Improved Cellular Automata and Optimization Methods

Some researchers have done the research to improve cellular automata (CA) using many methods such as analytic hierarchy process (AHP), logistic regression (LR) and decision tree (DT). However, there are no the works related to the comparison analysis and optimization discussion with the different algorithms to improve the experiment simulation and models. This paper firstly introduces cellular automata, the researches in this area and so on, comprehensively uses analytic hierarchy process, logistic regression and decision tree models to improve cellular automata, and makes simulation and analysis for the change of the simulation image utilizing the improved algorithms, and then from optimization and relevant aspects it gives some improvement and optimization analysis for the experiment simulation and algorithms.

[1]  Teresa Wu,et al.  A stochastic AHP decision making methodology for imprecise preferences , 2014, Inf. Sci..

[2]  Weng-Keen Wong,et al.  End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression , 2013, Artif. Intell..

[3]  Jiaying Liu,et al.  Joint image denoising using adaptive principal component analysis and self-similarity , 2014, Inf. Sci..

[4]  Beyza Ahlatçioglu Ozkok,et al.  Fuzzy portfolio selection using fuzzy analytic hierarchy process , 2009, Inf. Sci..

[5]  Li Xia.  Retrieving CA Nonlinear Transition Rule from High-dimensional Feature Space , 2006 .

[6]  Metin Dağdeviren,et al.  Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management , 2008, Inf. Sci..

[7]  Wang Xue,et al.  Self-adaptive Transfer for Decision Trees Based on Similarity Metric: Self-adaptive Transfer for Decision Trees Based on Similarity Metric , 2014 .

[8]  Ata Kabán,et al.  Learning kernel logistic regression in the presence of class label noise , 2014, Pattern Recognition.

[9]  Pietro Di Lena,et al.  Nondeterministic Cellular Automata , 2014, Inf. Sci..

[10]  N. Kamaraj,et al.  Evolving decision tree rule based system for audio stego anomalies detection based on Hausdorff distance statistics , 2010, Inf. Sci..

[11]  Hidetoshi Matsui.  Variable and boundary selection for functional data via multiclass logistic regression modeling , 2014, Comput. Stat. Data Anal..

[12]  Xindong Wu,et al.  MLSLR: Multilabel Learning via Sparse Logistic Regression , 2014, Inf. Sci..

[13]  Wang Jin.  A Theoretic Framework for Spatial Analysis , 2000 .

[14]  Fulong Wu,et al.  SimLand: A Prototype to Simulate Land Conversion Through the Integrated GIS and CA with AHP-Derived Transition Rules , 1998, Int. J. Geogr. Inf. Sci..

[15]  Xuesong Wang,et al.  Self-adaptive Transfer for Decision Trees Based on Similarity Metric: Self-adaptive Transfer for Decision Trees Based on Similarity Metric , 2014 .

[16]  Peng Shi,et al.  Learning very fast decision tree from uncertain data streams with positive and unlabeled samples , 2012, Inf. Sci..

[17]  Wenyong Dong,et al.  Utilising improved cellular automata to simulate and analyse image evolution and optimisation , 2015, Int. J. Comput. Sci. Math..

[18]  Meng Bin,et al.  Techniques of spatial data analysis , 2005 .

[19]  Li Xia,et al.  The Implementation and Application of Geographical Simulation and Optimization Systems (GeoSOS) , 2010 .

[20]  Nils Toft,et al.  Spatial correlation in Bayesian logistic regression with misclassification. , 2014, Spatial and spatio-temporal epidemiology.

[21]  Wei Xiong.  A Quantification Approach to Software Requirements Analysis and Its Fuzzy Analytic Hierarchy Process Mapping , 2005 .

[22]  Lazim Abdullah,et al.  A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process , 2014, Expert Syst. Appl..

[23]  Huan Wang,et al.  A storage allocation algorithm for outbound containers based on the outer-inner cellular automaton , 2014, Inf. Sci..

[24]  Keith C. Clarke,et al.  A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area , 1997 .

[25]  Yang Ying-yun.  Application of Fuzzy Analytic Hierarchy Process to TV and Radio Information Assurance Evaluation Indicator Systems , 2008 .

[26]  Long Bing.  Study on a GA-based SVM Decision-tree Multi-Classification Strategy , 2008 .