Heart Disease Prediction using Evolutionary based Artificial Neural Network. Tejali Mhatre 1, Satishkumar Varma 2. Department of Information Technology, Pillai College of Engineering, New Panvel, India. Abstract Large number of people are diagnosed with heart disease. With increasing life expectancy of population and availability of effective.
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Abstract. Ant colony optimization (ACO) algorithms have been successfully applied to identify classification rules in data mining. This paper proposes a new ant colony optimization algorithm, named, for the hierarchical multilabel classification problem in protein function prediction.The proposed algorithm is characterized by an orderly roulette selection strategy that distinguishes the.
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In the case of roulette, the wheel itself is the random number generator, and in dice games, it is the dice that provide the random element when they are thrown. In card games, the randomization of the cards is brought about by shuffling the pack, and in slot machines, an electronic device inside the cabinet produces random numbers that decide how long the reels will spin for. In the case of.
Well that’s a good question, we can never produce random numbers by deterministic means. Whatever random number generator device we build, it has to be a closed system to work and whatever number it produces will depend on it’s previous numbers.
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Due to the problem of attribute redundancy in meteorological data from the Industrial Internet of Things (IIoT) and the slow efficiency of existing attribute reduction algorithms, attribute reduction based on a genetic algorithm for the coevolution of meteorological data was proposed. The evolutionary population was divided into two subpopulations: one subpopulation used elite individuals to.