Provotar O. Models and techniques of artificial intelligence in bioinformatics problems

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0415U006947

Applicant for

Specialization

  • 01.05.01 - Теоретичні основи інформатики та кібернетики

11-12-2015

Specialized Academic Board

Д 26.194.02

V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine

Essay

The hypothesis that the structure of water sensitive to different signals - from sound signals and up to the flow of charged particles coming from space and about the wave human genome are formulated. Although they are on the verge of modern ideas about the world, yet based on factual data. The new encryption algorithm using neural networks are proposed and investigated. The models of representation the fuzzy specifications of Homeopathic Pharmacopoeia with help of fuzzy logic inference systems, solution algorithms such systems and the methods of learning fuzzy inference systems using neural networks are proposed. Special attention is given to recognition method of DNA secondary structure with help of fuzzy inference systems. Also a new problems (including problems forecasting) with fuzzy Boolean variables and a new approach to their solution which uses the ideas of inductive mathematics in fuzzy interpretation are described.

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