MARC details
000 -LEADER |
fixed length control field |
03678pam a2200385 i 4500 |
001 - CONTROL NUMBER |
control field |
40297 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
0000000000 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240411192949.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
160623s2016 sz s 000 0 eng|d |
015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
National bibliography number |
GBB687063 |
Source |
bnb |
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
Record control number |
017897371 |
Source |
Uk |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783319351605 (hardback ) |
Terms of availability |
£112.00 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
Canceled/invalid ISBN |
9783319351629 (eBook) |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(Uk)017897371 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
StDuBDS |
Language of cataloging |
eng |
Transcribing agency |
StDuBDS |
Modifying agency |
Uk |
Description conventions |
rda |
042 ## - AUTHENTICATION CODE |
Authentication code |
ukblcatcopy |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.3 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Zhurovsʹkyĭ, M. Z. |
Fuller form of name |
(Mykhaĭlo Zakharovych), |
Relator term |
author. |
245 14 - TITLE STATEMENT |
Title |
The fundamentals of computational intelligence : |
Remainder of title |
system approach / |
Statement of responsibility, etc. |
Mikhail Z. Zgurovsky, Yuriy P. Zaychenko. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Switzerland : |
Name of producer, publisher, distributor, manufacturer |
Springer, |
Date of production, publication, distribution, manufacture, or copyright notice |
2016. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xx, 375 pages : |
Other physical details |
illustrations (black and white) ; |
Dimensions |
24 cm. |
336 ## - CONTENT TYPE |
Content type term |
text |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Source |
rdacarrier |
490 0# - SERIES STATEMENT |
Series statement |
Studies in computational intelligence, |
International Standard Serial Number |
1860-949x ; |
Volume/sequential designation |
652 |
500 ## - GENERAL NOTE |
General note |
Formerly CIP. |
Institution to which field applies |
Uk |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This monograph is dedicated to the systematic presentation of main trends, technologies and methods of computational intelligence (CI). The book pays big attention to novel important CI technology- fuzzy logic (FL) systems and fuzzy neural networks (FNN). Different FNN including new class of FNN- cascade neo-fuzzy neural networks are considered and their training algorithms are described and analyzed. The applications of FNN to the forecast in macroeconomics and at stock markets are examined. The book presents the problem of portfolio optimization under uncertainty, the novel theory of fuzzy portfolio optimization free of drawbacks of classical model of Markovitz as well as an application for portfolios optimization at Ukrainian, Russian and American stock exchanges. The book also presents the problem of corporations bankruptcy risk forecasting under incomplete and fuzzy information, as well as new methods based on fuzzy sets theory and fuzzy neural networks and results of their application for bankruptcy risk forecasting are presented and compared with Altman method. This monograph also focuses on an inductive modeling method of self-organization - the so-called Group Method of Data Handling (GMDH) which enables to construct the structure of forecasting models almost automatically. The results of experimental investigations of GMDH for forecasting at stock exchanges are presented. The final chapters are devoted to theory and applications of evolutionary modeling (EM) and genetic algorithms. The distinguishing feature of this monograph is a great number of practical examples of CI technologies and methods application for solution of real problems in technology, economy and financial sphere, in particular forecasting, classification, pattern recognition, portfolio optimization, bankruptcy risk prediction under uncertainty which were developed by authors and published in this book for the first time. All CI methods and algorithms are presented from the general system approach and analysis of their properties, advantages and drawbacks that enables practitioners to choose the most adequate method for their own problems solution. |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
Additional physical form available note |
Also published electronically. |
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE |
Terms governing use and reproduction |
Current copyright fee: GBP19.00 |
Authorization |
42\0 |
Institution to which field applies |
Uk |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Computational intelligence. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Zaychenko, Yuriy P., |
Relator term |
author. |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/18KeCgNlmM7KIKjbbjfJBt_5M0NxUl95e/view?usp=sharing">https://drive.google.com/file/d/18KeCgNlmM7KIKjbbjfJBt_5M0NxUl95e/view?usp=sharing</a> |