Artificial Neural Networks in Finance and Manufacturing, 1st Edition

  • Published By:
  • ISBN-10: 1591406722
  • ISBN-13: 9781591406723
  • Grade Level Range: College Freshman - College Senior
  • 287 Pages | eBook
  • Original Copyright 2006 | Published/Released October 2006
  • This publication's content originally published in print form: 2006

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About

Overview

Two of the most important factors contributing to national and international economy are processing of information for accurate financial forecasting and decision making as well as processing of information for efficient control of manufacturing systems for increased productivity. The associated problems are very complex and conventional methods often fail to produce acceptable solutions. Moreover, businesses and industries always look for superior solutions to boost profitability and productivity. In recent times, artificial neural networks have demonstrated promising results in solving many real-world problems in these domains, and these techniques are increasingly gaining business and industry acceptance among the practitioners.

Artificial Neural Networks in Finance and Manufacturing presents many state-of-the-art and diverse applications to finance and manufacturing, along with underlying neural network theories and architectures. It offers researchers and practitioners the opportunity to access exciting and cutting-edge research focusing on neural network applications, combining two aspects of economic domain in a single and consolidated volume.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Artificial Neural Networks in Finance and Manufacturing: Table of Contents.
Preface.
Acknowledgments.
1: Introduction.
2: Artificial Neural Networks: Applications in Finance and Manufacturing.
3: Simultaneous Evolution of Network Architectures and Connection Weights in Artificial Neural Networks.
4: ANNs in Finance.
5: Neural Network-Based Stock Market Return Forecasting Using Data Mining for Variable Reduction.
6: Hybrid-Learning Methods for Stock Index Modeling.
7: Application of Higher-Order Neural Networks to Financial Time-Series Prediction.
8: Hierarchical Neural Networks for Modelling Adaptive Financial Systems.
9: Forecasting the Term Structure of Interest Rates Using Neural Networks.
10: Modeling and Prediction of Foreign Currency Exchange Markets.
11: Improving Returns on Stock Investment through Neural Network Selection.
12: ANNs in Manufacturing.
13: Neural Networks in Manufacturing Operations.
14: High-Pressure Die-Casting Process Modeling Using Neural Networks.
15: Neural Network Models for the Estimation of Product Costs: An Application in the Automotive Industry.
16: A Neural-Network-Assisted Optimization Framework and Its Use for Optimum-Parameter Identification.
17: Artificial Neural Networks in Manufacturing: Scheduling.
18: Recognition of Lubrication Defects in Cold Forging Process with a Neural Network.
About the Authors.
Index.