By Tshilidzi Marwala
Economic Modeling utilizing man made Intelligence Methodsexamines the applying of synthetic intelligence the right way to version monetary facts. generally, financial modeling has been modeled within the linear area the place the rules of superposition are legitimate. the appliance of synthetic intelligence for financial modeling allows a versatile multi-order non-linear modeling. additionally, video game conception has mostly been utilized in financial modeling. notwithstanding, the inherent difficulty of online game thought while facing many participant video games encourages using multi-agent platforms for modeling fiscal phenomena.
The synthetic intelligence recommendations used to version monetary info include:
- multi-layer perceptron neural networks
- radial foundation functions
- support vector machines
- rough sets
- genetic algorithm
- particle swarm optimization
- simulated annealing
- multi-agent system
- incremental learning
- fuzzy networks
Signal processing concepts are explored to research monetary info, and those innovations are the time area tools, time-frequency area tools and fractals size methods. attention-grabbing monetary difficulties akin to causality as opposed to correlation, simulating the inventory industry, modeling and controling inflation, choice pricing, modeling financial development in addition to portfolio optimization are tested. the connection among financial dependency and interstate clash is explored, and information on how economics comes in handy to foster peace – and vice versa – is investigated. fiscal Modeling utilizing man made Intelligence equipment bargains with the problem of causality within the non-linear area and applies the automated relevance decision, the proof framework, Bayesian method and Granger causality to appreciate causality and correlation.
Economic Modeling utilizing synthetic Intelligence equipment makes an incredible contribution to the realm of econometrics, and is a priceless resource of reference for graduate scholars, researchers and monetary practitioners.
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Additional info for Economic Modeling Using Artificial Intelligence Methods
1007/978-1-4471-5010-7 2, © Springer-Verlag London 2013 23 24 2 Techniques for Economic Modeling: Unlocking the Character of Data it might be more advisable to take the time data and convert it into the frequency domain because vital features would be revealed in the frequency domain rather than in the time domain. This chapter gives a brief account of some of the techniques that are used to analyze data. We consider four domains, where we can analyze economic data and these are time, frequency, time-frequency and fractal domains.
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