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100710s2010 gw | s |||| 0|eng d |
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|a 9783642139505
|9 978-3-642-13950-5
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|a 10.1007/978-3-642-13950-5
|2 doi
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|a Q342
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|a Brabazon, Anthony.
|e editor.
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|a Natural Computing in Computational Finance
|c edited by Anthony Brabazon, Michael O Neill, Dietmar G. Maringer.
|h [electronic resource] /
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
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| 300 |
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|a 241p. 19 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Studies in Computational Intelligence,
|v 293
|x 1860-949X ;
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| 505 |
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|a 1 Natural Computing in Computational Finance (volume 3): Introduction -- Part I Financial and Agent-Based Models -- 2 Robust Regression with Optimisation Heuristics -- 3 Evolutionary Estimation of a Coupled Markov Chain Credit Risk Model -- 4 Evolutionary Computation and Trade Execution -- 5 Agent-based Co-operative Co-evolutionary Algorithms for Multi-objective Portfolio Optimization -- Part II Dynamic Strategies and Algorithmic Trading -- 6 Inferring Trader s Behavior From Prices -- 7 Index Mutual Fund Replication -- 8 Frequent Knowledge Patterns in Evolutionary Decision Support Systems for Financial Time Series Analysis -- 9 Modeling Turning Points in Financial Markets with Soft Computing Techniques -- 10 EvolutionaryMoney Management -- 11 Interday and Intraday Stock Trading Using Probabilistic Adaptive Mapping Developmental Genetic Programming and Linear Genetic Programming.
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| 520 |
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|a This book consists of eleven chapters each of which was selected following a rigorous, peer-reviewed, selection process. The chapters illustrate the application of a range of cutting-edge natural computing and agent-basedmethodologies in computational finance and economics. While describing cutting edge applications, the chapters are written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics. The inspiration for this book was due in part to the success of EvoFIN 2009, the 3rd European Workshop on Evolutionary Computation in Finance and Economics. This book follows on from Natural Computing in Computational Finance Volumes I and II.
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|a Engineering.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Economics.
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| 650 |
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4 |
|a Engineering.
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| 650 |
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|a Computational Intelligence.
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| 650 |
2 |
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
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|a Economics general.
|
| 700 |
1 |
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|a O Neill, Michael.
|e editor.
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| 700 |
1 |
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|a Maringer, Dietmar G.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783642139499
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| 830 |
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|a Studies in Computational Intelligence,
|v 293
|x 1860-949X ;
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| 856 |
4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-13950-5
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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