Artificial Higher Order Neural Networks for Economics and Business > Artificial Higher Order Neural Network Nonlinear Models: SAS NLIN or HONNs? > ACKNOWLEDGMENT

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Artificial Higher Order Neural Networks for Economics and Business

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Dedication

Preface

Acknowledgment

Section: I Artificial Higher Order Neural Networks for Economics

Ch. I. Artificial Higher Order Neural Network Nonlinear Models: SAS NLIN or HONNs?

ABSTRACT

INTRODUCTION

SAS

HONN STRUCTURE AND NONLINEAR MODLES

CONVERGENCE THEORIES OF HONN

LEARNING ALGORITHM OF HONN MODEL

HONN NONLINEAR MODELS

SINCHONN

SPHONN

COMPARISONS OF SAS NONLINEAR MODELS AND HONN NONLINEAR MODELS

FINDING MODEL, ORDER, & COEFFICIENT BY HONN NONLINEAR MODELS

FUTHER RESEARCH DIRECTIONS

Ch. II. Higher Order Neural Networks with Bayesian Confidence Measure for the Prediction of the EUR/USD Exchange Rate

Ch. III. Automatically Identifying Predictor Variables for Stock Return Prediction

APPENDIX A

Ch. IV. Higher Order Neural Network Architectures for Agent-Based Computational Economics and Finance

Ch. V. Foreign Exchange Rate Forecasting Using Higher Order Flexible Neural Tree

Ch. VI. Higher Order Neural Networks for Stock Index Modeling

Section: II Artificial Higher Order Neural Networks for Time Series Data

Section: III Artificial Higher Order Neural Networks for Business

Section: IV Artificial Higher Order Neural Networks Fundamentals

About the Contributors

Index

ACKNOWLEDGMENT

I would like to acknowledge the financial assistance of the following organizations in the development of Higher-Order Neural Networks: Fujitsu Research Laboratories, Japan (1995-1996), Australian Research Council (1997-1998), the US National Research Council (1999-2000), and the Applied Research Center grants and Dean's Office Grants of Christopher Newport University (2001-2007).

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Contents

Chapter I. Artificial Higher Order Neura... > ACKNOWLEDGMENT

ACKNOWLEDGMENT