Soft computing : (for engineering students) / K. Vinoth Kumar
Material type:
TextPublication details: New Delhi, India : S.K. Katarian & Sons, c2010Description: 340 pages : illustrations ; 24 cmISBN: - 9789350140079
- QA 76.76.A65 .K86 [2010]
Books
| Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
|
Books
|
National University - Manila | LRC - Main General Circulation | Digital Forensic | GC QA 76.76.A65 .K86 [2010] (Browse shelf(Opens below)) | c.1 | Available | NULIB000007035 |
Browsing LRC - Main shelves, Shelving location: General Circulation, Collection: Digital Forensic Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| GC QA 76.76 .B37 2021 Malware analysis techniques : tricks for the triage of adversarial software / | GC QA 76.76.A65 .D86 2022 Clean android architecture : take a layered approach to writing clean, testable, and decoupled Android applications / | GC QA 76.76.A65 .G45 2022 Kickstart modern android development with jetpack and kotlin : enhance your applications by integrating jetpack and applying modern app architectural concepts / | GC QA 76.76.A65 .K86 [2010] Soft computing : (for engineering students) / | GC QA 76.76.C68 .K3l 2018 c.1 Learning malware analysis : explore the concepts, tools, and techniques to analyze and investigate Windows Malware / | GC QA 76.76.C68 .K58 2019 c.1 Mastering malware analysis : the complete malware analyst's guide to combating malicious software, APT, cybercrime, and IoT attacks / | GC QA 76.76.C68 .M35 2012 c.1 Malware forensics field guide for Windows systems : digital forensics field guides / |
Includes bibliographical references and index.
1. Introduction -- 2. Introduction to neural networks -- 3. Artificial neural model -- 4. Single layer feedforward neural network -- 5. Multilayer feedforward neural networks -- 6. Associative memory network -- 7. Classical and fuzzy sets -- 8. Fuzzy logic system components -- 9. Neural netwrok application -- 10. Genetic algorithms -- 11. Neuro-fuzzy systems -- 12. Fuzzy arithmetic -- 13. Fuzzy logic -- 14. Uncertainty based information
This book attempts to provide the reader with basic concepts and enginnering applications of fuzzy logic, neural network's and genetic algorthims. Back in 2000, the absence of any state-of-the-art (Indian domain) textbook foprced me to write this book.
There are no comments on this title.