Artificial neural networks with java : (Record no. 222708)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03738nam a22004815i 4500 |
| 001 - CONTROL NUMBER | |
| control field | ssj0002135776 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | WaSeSS |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240424113212.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr n |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190412s2019 xxu| o |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484244203 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-1-4842-4421-0 |
| Source of number or code | doi |
| 040 ## - CATALOGING SOURCE | |
| Modifying agency | WaSeSS |
| Transcribing agency | AIMIT LIBRARY |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.73.J38 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UMX |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM051280 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UMX |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.32 |
| Edition number | 1 |
| Item number | LIVI |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | EBOOK |
| 999 ## - SYSTEM CONTROL NUMBERS (KOHA) | |
| Koha Dewey Subclass [OBSOLETE] | 03644681 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Livshin, Igor |
| 9 (RLIN) | 32739 |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial neural networks with java : |
| Remainder of title | tools for building neural network applications / |
| Statement of responsibility, etc. | By Igor Livshin. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Berkeley, CA : |
| Name of publisher, distributor, etc. | Apress : |
| -- | Imprint: Apress , |
| Date of publication, distribution, etc. | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xix,566p. ; |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 1. Learning Neural Networks -- Chapter 2. Internal Mechanism of Neural Network Processing -- Chapter 3. Manual Neural Network Processing -- Chapter 4. Java Environment and Development Tools for Building Neural Network Applications -- Chapter 5. Neural Network Development Using Java Framework -- Chapter 6. Neural network Prediction outside of the Training Range -- Chapter 7. Processing More Complex Periodic Functions -- Chapter 8. Processing Non-continuous Functions -- Chapter 9. Approximation Continuous Functions with Complex Topology -- Chapter 10. Using Neural Network for Classification of Objects -- Chapter 11. Importance of Selecting a Correct Model -- Chapter 12. Approximation of Functions in 3-D Space. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Requires an SPL library card. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks. The next big topic discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development with Encog, allowing you to create large-scale neural network applications. The book also discusses the inability of neural networks to approximate complex non-continuous functions, and it introduces the micro-batch method that solves this issue. The step-by-step approach includes plenty of examples, diagrams, and screen shots to help you grasp the concepts quickly and easily. You will: Prepare your data for many different tasks Carry out some unusual neural network tasks Create neural network to process non-continuous functions Select and improve the development model . |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Java (Computer program language) |
| 9 (RLIN) | 32740 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence |
| 9 (RLIN) | 32741 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Open source software |
| 9 (RLIN) | 32742 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer programming |
| 9 (RLIN) | 32743 |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Source of term | local |
| 9 (RLIN) | 32744 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781484244203 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781484244227 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Link text | View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. |
| Uniform Resource Identifier | <a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484244210/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484244210/?ar</a> |
| Public note | An e-book available through full-text database. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Edition | 1st ed. |
| Call number prefix | 006.32 LIVI |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | MCA | St Aloysius Institute of Management & Information Technology | St Aloysius Institute of Management & Information Technology | 03/24/2022 | Biblios Book Point | 2199.00 | Bill no:6622; Bill dt:2022-03-23 | 006.32 LIVI | MCA16990 | 07/21/2025 | 1759.20 | 04/28/2022 | Book |
