00000nam a2200000 i 4500 UP-1685675941131500009 Buklod 20231103104508.0 m |o d | ta 231103s2022 flua |r b|001 0|eng 9780367720292 (hbk) 21992843 BC-73984 New Century Books & General Merchandise Php 5,845.50 Department of Mathematics and Computer Science DLC BAG rda eng QA 76.9 L38 R58 2022 Ritter, G. X. author. Introduction to lattice algebra with applications in AI, pattern recognition, image analysis, and biomimetic neural networks Gerhard X. Ritter, Gonzalo Urcid. Boca Raton, FL CRC Press, an imprint of the Taylor & Francis Group 2022. xiii, 417 pages illustrations 24 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references (pages 383-410) and index. Elements of algebra -- Pertinent properties of Euclidean space -- Lattice theory -- Lattice algebra -- Matrix-based lattice associative memories -- Extreme points of data sets -- Image unmixing and segmentation -- Lattice-based biomimetic neural networks -- Learning in biomimetic neural networks. "Lattice 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"--Provided by publisher. Lattice theory. Computer science Mathematics. Artificial intelligence Mathematical models. Urcid, Gonzalo author. FO UPBAG UPBAG-MAIN QA 76.9 L38 R58 2022 Book