| 청구기호 |
HB71-74 |
| 판사항 |
1st ed. 2009.
|
| 형태사항 |
X, 250 p. online resource.
|
| 총서명 |
Studies in Computational Intelligence, 1860-949X ; 185
|
| 언어 |
English |
| 내용 |
Natural Computing in Computational Finance (Volume 2): Introduction -- Natural Computing in Computational Finance (Volume 2): Introduction -- I Financial Modelling -- Statistical Arbitrage with Genetic Programming -- Finding Relevant Variables in a Financial Distress Prediction Problem Using Genetic Programming and Self-organizing Maps -- Ant Colony Optimization for Option Pricing -- A Neuro-Evolutionary Approach for Interest Rate Modelling -- Who’s Smart and Who’s Lucky? Inferring Trading Strategy, Learning and Adaptation in Financial Markets through Data Mining -- II Agent-Based Modelling -- Financial Bubbles: A Learning Effect Modelling Approach -- Evolutionary Computation and Artificial Financial Markets -- Classical and Agent-Based Evolutionary Algorithms for Investment Strategies Generation -- Income Distribution and Lottery Expenditures in Taiwan: An Analysis Based on Agent-Based Simulation -- The Emergence of a Market: What Efforts Can Entrepreneurs Make?.
|
| 주제 |
Economics.
Management science.
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Economics, general. --https://scigraph.springernature.com/ontologies/product-market-codes/W00000
Mathematical and Computational Engineering. --https://scigraph.springernature.com/ontologies/product-market-codes/T11006
Artificial Intelligence. --https://scigraph.springernature.com/ontologies/product-market-codes/I21000
|
| 보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9783642101120
Printed edition: 9783642001239
Printed edition: 9783540959731
|
| ISBN |
9783540959748 |
| 기타 표준번호 |
10.1007/978-3-540-95974-8 |
| QR CODE |
|
