Twenty Dimensional Hybrid Cellular Automata for Elimination of Aging
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.
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