Review on Big Data Analytics in Distribution of Power Systems

Revathy, R.; Priyadharshini, K.

doi:10.1166/jctn.2019.7943

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“…Fuzzy logic that formulate in an inaccurate reasoning; this system works based on the universe of uncertainty. The core part of the fuzzy logic is linguistic variable [13], [14]. Genetic algorithm works based on the Darwin's "survival of fittest".…”

Section: Introductionmentioning

confidence: 99%

Neural Computation based General Disease Prediction Model

Mary¹,

Bharathi²,

Vigneshwari³

et al. 2019

IJRTE

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To predict the patient disease using soft computing technique is the primary motto of the disease prediction system. Currently, researchers are trying to develop a disease prediction system using pattern mining technique. Here, a technique for disease prediction system using genetic algorithm and artificial neural network is proposed. The genetic algorithm is used for mining the most occurrences of disease sequences rules. To form the disease prediction system, the best rule which is obtained by means of genetic algorithm is used. Artificial neural network is trained to predict the disease. Accuracy of disease prediction is compared with other prediction techniques

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Section: Introductionmentioning

confidence: 99%