The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.
Author(s): Marina Resta (auth.)
Series: Intelligent Systems Reference Library 99
Edition: 1
Publisher: Springer International Publishing
Year: 2016
Language: English
Pages: XX, 172
Tags: Computational Intelligence; Artificial Intelligence (incl. Robotics); Operation Research/Decision Theory
Front Matter....Pages i-xx
Front Matter....Pages 1-1
Yet Another Introduction to Self-Organizing Maps....Pages 3-20
Networks Analysis and Beyond....Pages 21-34
Elastic Maps....Pages 35-45
Front Matter....Pages 47-47
SOM Variants for the Simulation of Market Price Modeling....Pages 49-67
Elastic Maps to Define the Risk Profile of Financial Investments....Pages 69-92
Hubs and Communities of Financial Assets with Enhanced Self-Organizing Maps....Pages 93-114
Financial Landscapes of Health Care Providers....Pages 115-141
Using SOM for Mortality Projection....Pages 143-153
Using Local Databases to Support Smart Policy Interventions....Pages 155-163
Back Matter....Pages 165-172
