Soft computing : fundamentals & practical approaches / (Record no. 65519)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01566nam a22001817a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200609b2019 ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789385046537 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 SHA-R |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sharma, Rupam Kumar |
| 245 ## - TITLE STATEMENT | |
| Title | Soft computing : fundamentals & practical approaches / |
| Statement of responsibility, etc. | Raupam Kumar Sharma and Gypsy Nandi |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | India |
| Name of publisher, distributor, etc. | Studium Press |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 355 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 1995.00 |
| 500 ## - GENERAL NOTE | |
| General note | This book introduces the fundamental concepts of different soft computing techniques that are widely used in a variety of optimization and classification problems. Topics covered include Fuzzy computing, Neural Network, Deep learning, Population based algorithms, Rough sets, Soft computing techniques in Intrusion Detection Systems and Soft Computing techniques in Data Mining. The content discusses the fundamentals together with how the soft computing techniques can be implemented using various standard libraries and tools of the Python programming language and the ROSE tool. Readers with previous knowledge of python programming will find easy to understand the program examples presented in the chapters. Each chapter contains numerous examples and case study that explains the important concepts. Appropriate number of questions is presented at the end of each chapter for self assessing the conceptual understanding. The references presented at the end of every chapter will help the readers to explore more on a given topic. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Fuzzy Computing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial Neural Networks |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Deep Learning |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 09/06/2020 | 1 | 006.3 SHA-R | 41195 | 13/07/2024 | 18/04/2022 | 09/06/2020 | Books |