TY  - BOOK
AU  - Ritter,G.X.
AU  - Urcid,Gonzalo
TI  - Introduction to lattice algebra: with applications in AI, pattern recognition, image analysis, and biomimetic neural networks 
SN  - 9781000412567
AV  - QA76.9.L38 R58 2021
U1  - 004.015113 23
PY  - 2021///
CY  - Boca Raton
PB  - Chapman & Hall/CRC
KW  - Lattice theory
KW  - Computer science
KW  - Mathematics
KW  - Artificial intelligence
KW  - Mathematical models
KW  - MATHEMATICS / Algebra / Abstract
KW  - bisacsh
KW  - MATHEMATICS / Algebra / General
KW  - COMPUTERS / Computer Science
N2  - 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 articial intelligence and computer science in general. Introduction to LatticeAlgebra: 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 articial intelligence with a focus on pattern recognition, multispectral image analysis, and biomimetic articial neural networks. The book is self-contained and - depending on the student's major - can be usedfor a senior undergraduate level or rst-year graduate level course. The book is also an ideal self-study guide for researchers and professionals in the above-mentioned disciplines. Features Filled with instructive examples and exercises to help build understanding Suitable for researchers, professionals and students, both in mathematics and computer science Every chapter consists of exercises with solution provided online at www.Routledge.com/9780367720292
UR  - https://www.taylorfrancis.com/books/9781003154242
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -