| 书目名称 | Economic Modeling Using Artificial Intelligence Methods |
| 编辑 | Tshilidzi Marwala |
| 视频video | |
| 概述 | Presents new insights into the modeling of economic data.Proposes a structure for evaluating economic strategies such as inflation targeting founded on artificial intelligence techniques.Addresses cau |
| 丛书名称 | Advanced Information and Knowledge Processing |
| 图书封面 |  |
| 描述 | .Economic Modeling Using Artificial Intelligence Methods. .examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena..The artificial intelligence techniques used to model economic data include:.multi-layer perceptron neural networks.radial basis functions.support vector machines.rough sets.genetic algorithm.particle swarm optimization.simulated annealing.multi-agent system.incremental learning.fuzzy networks.Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and |
| 出版日期 | Book 2013 |
| 关键词 | Artificial Intelligence; Bayesian; Boolean Reasoning; Causality; Computational Intelligence; Decision Rul |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-5010-7 |
| isbn_softcover | 978-1-4471-5919-3 |
| isbn_ebook | 978-1-4471-5010-7Series ISSN 1610-3947 Series E-ISSN 2197-8441 |
| issn_series | 1610-3947 |
| copyright | Springer-Verlag London 2013 |
发表于 2025-3-21 18:21:00
