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Introduction: Introduction.- Part 1 Methodologies: Introduction to Modelling.- Neural Network Methodologies.- Evolutionary Methodologies.- Grammatical Evolution.- The Particle Swarm Model.- Ant Colony Systems.- Artificial Immune Systems.- Part 2 Model Development: Model Development Process.- Technical Analysis.- Overview of Case Studies.- Index Prediction Using MLPs.- Part 3 Case Studies: Index Prediction Using a Hybrid MLP-GA.- Index Trading Using Grammatical Evolution.- Intra-day Trading Using Grammatical Evolution.- Automatic Generation of Foreign Exchange Trading Rules.- Corporate Failure Prediction Using GE.- Corporate Failure Prediction Using an Ant-Clustering Model.- Bond Rating Using GE.- Bond Rating Using AIS.- Wrap-up.- References.
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Add Biologically Inspired Algorithms for Financial Modelling, Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain compute, Biologically Inspired Algorithms for Financial Modelling to the inventory that you are selling on WonderClubX
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Add Biologically Inspired Algorithms for Financial Modelling, Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain compute, Biologically Inspired Algorithms for Financial Modelling to your collection on WonderClub |