Introduction to lattice algebra : (Record no. 655173)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02187cam a22002298i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780367720292 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780367722951 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 5113 |
| Item number | RIT.I |
| 084 ## - OTHER CLASSIFICATION NUMBER | |
| Source of Number | Colon Classification |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Ritter, G. X., |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to lattice algebra : |
| Sub Title | with applications in AI, pattern recognition, image analysis, and biomimetic neural networks / |
| Statement of responsibility, etc | Gerhard X. Ritter, Gonzalo Urcid. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | pages cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "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"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Lattice theory. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer science |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Urcid, Gonzalo, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home Library | Current Location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Dept. of Mathematics | Dept. of Mathematics | 12/12/2023 | 511.3 RIT.I | MAT8002 | 22/08/2022 | Book |