Artificial intelligence: theory and applications

by Pap, Endre

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Title Statements

Full title :Artificial intelligence : theory and applications / Endre Pap, editor.

Summary

This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph. D. students.

Edition Statements

Publication Date:©2021

Publication Statements

Publisher(s):Springer
Place of Publication:Cham
Language:eng
Publication Date:©2021

The Physical Object

Description:1 online resource : : illustrations (chiefly color)

Edition Identifiers

ISBN:9783030727116, 3030727114
DOI:10.1007/978-3-030-72711-6
oclc:on1260664992
LC Classification:Q335
Dewey Decimal:006.3

Part I: Theory -- Mathematical base for Artificial Intelligence -- Collection and decomposition integrals in multicriteria-decision support -- A refinement of the Jensen type inequality for the pseudo-integral -- Convolutional Neural Networks Hyperparameters Tuning -- The Case for Quantifying Artificial General Intelligence with Entropy Semifields -- Fuzzy metrics and its applications in image processing -- Aggregation operations and distributivity equations -- The use of Fuzzy Logic in Various Combinatorial Optimization problems -- Improved BAT Algorithm for Solving Job Scheduling Problem in Hotels and Restaurants -- Part II: Applications -- Explainable machine learning prediction of PCB-138 behavior patterns in edible fish from Croatian Adriatic -- Patterns of PCB-138 occurrence in the breast milk of primiparae and multiparae using SHapley Additive exPlanations analysis -- What information on volatile organic compounds can be obtained from the data of a single measurement site through the use of artificial intelligence? -- The Linear Fuzzy Space: Theory and Applications -- Image fuzzy segmentation using aggregated distance functions and pixel descriptors -- A generative model fo…