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Life science applications of computational intelligence for modelling
Yogesh Mohan
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Life science applications of computational intelligence for modelling - Mohan, Yogesh
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Reseña del libro "Life science applications of computational intelligence for modelling"
Can computers be intelligent? If yes! Then how to represent intelligence? Thedevelopment of digital computers made possible the invention of human engineeredsystems that show intelligent behaviour. Now a days, the researchers are active with thestudies applying computational intelligence (i.e. numerical methods for implementing anintelligent behaviour) to understand the complex and uncertain behaviour of real-worldprocesses. Despite advancement in neuro/fuzzy modeling techniques, the field still lacksa mathematical framework for the design and analysis of intelligent systems to deal withthe real-world problems considering the underlying uncertainties in a sensible way. Thisthesis presents a fuzzy rules based system for modeling the relationships between inputsand output data in the presence of uncertainties. The fuzzy system is designed byseparating the uncertainties from the data using fuzzy filtering algorithms. A stochasticmodeling of the uncertainties helps in designing the fuzzy system to approximate theuncertain relationships. The proposed fuzzy model offers the followings.
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