Twenty Dimensional Hybrid Cellular Automata for Elimination of Aging

Authors

  • Dr. P. Kiran Sree Professor, Dept of CSE, SVECW, Bhimavaram.
  • Smt SSSN Usha Devi N Dept of CSE, UCEK, JN TU-Kakinada.

Keywords:

Hybrid Cellular Automata, , CLONAL classifier.

Abstract

Elimination of aging is one of the major problems of that can be solved by Artificial Intelligence. The digestive framework has a great deal of store incorporated with it, maturing has less impact on its capacity than it does on the capacity of other organ frameworks. In any case, maturing is a component in a few digestive framework issues. This problem can be addressed by using Hybrid Cellular Automata with 20-Neighbourhood. This is implemented by using modified CLONAL classifier. This supervised classifier is developed and tested for elimination of aging. This classifier obtained an accuracy of 87% tested over heart datasets downloaded from UCI machine learning repository.

References

1. Wang, Xiaowo, Zhenyu Xuan et al. High-resolution human core-promoter prediction with CoreBoost_HM. Genome research 2009; 19(2): 266-275.
2. Chen, Qing K, Gary D et al. PromFD 1.0: A computer program that predicts eukaryotic pol II promoters using strings and IMD matrices. Computer applications in the biosciences: CABIOS 1997;13(1): 29-35.
3. Gangal, Rajeev, Pankaj Sharma. Human pol II promoter prediction: time series descriptors and machine learning. Nucleic acids research 2005; 33(4):1332-1336.
4. Zhou X, Ruan J, Wang G et al. Characterization and identification of MicroRNA core promoters in four model species. PLoS Comput Biol 2007; 3(3): 1-37. 5. Audic, Stéphane, Claverie JM. Detection of eukaryotic promoters using Markov transition matrices. Computers & chemistry 1997; 21(4): 223-227.
6. Sree PK, Babu IR. Face Detection from still and Video Images using Unsupervised Hybrid Cellular Automata with K means clustering algorithm. ICGST-GVIP Journal 2008; 8(2).
7. Sree PK, Babu IR. AIX-MACA-Y multiple attractor Hybrid Cellular Automata based clonal classifier for promoter and protein coding region prediction. Journal of Bioinformatics and Intelligent Control 2014; 3(1): 23-30.
8. Sree PK, Babu IR, Murty JV et al. Power-aware Hybrid Intrusion Detection System (PHIDS) using Hybrid Cellular Automata in wireless ad hoc networks. WSEAS Transactions on Computers 2008; 7(11): 1848-74.

Published

2017-12-20