000			01828nam a22001817a 4500
005			20250306155456.0
008			250304b2022 |||||||| |||| 00| 0 eng d
020			_a9780367722951
082			_a004.015113 RIT-G
100			_aRitter, Gerhard X.
245			_aIntroduction to lattice algebra : _bwith applications n AI, pattern recognition, image analysis, and biomimetic neural networks / _cGerhard X. Ritter and Gonzalo Urcid
260			_aBoca Raton _bCRC Press _c2022
300			_a417p.
500			_aLattice theory extends into virtually every branch of mathematics, ranging from measure theory and convex geometry to probability theory and topology. A more recent development has been the rapid escalation of employing lattice theory for various applications outside the domain of pure mathematics. These applications range from electronic communication theory and gate array devices that implement Boolean logic to artificial intelligence and computer science in general. Introduction to Lattice Theory: With Applications in AI, Pattern Recognition, Image Analysis, and Biomimetic Neural Networks lays emphasis on two subjects, the first being lattice algebra and the second the practical applications of that algebra. This textbook is intended to be used for a special topics course in artificial intelligence with focus on pattern recognition, multispectral image analysis, and biomimetic artificial neural networks. The book is self-contained and - depending on the student's major - can be used at a senior undergraduate level or a first-year graduate level course. The book is also an ideal self-study guide for researchers and professionals in the above-mentioned disciplines
650			_aLattice theory.
650			_aComputer science--Mathematics.
650			_aArtificial intelligence--Mathematical models.
999			_c93193 _d93193