Artificial Higher Order Neural Network Models

Author:

Zhang Ming1

Affiliation:

1. Christopher Newport University, USA

Abstract

This chapter introduces the background of HONN model developing history and overview 24 applied artificial higher order neural network models. This chapter provides 24 HONN models and uses a single uniform HONN architecture for ALL 24 HONN models. This chapter also uses a uniform learning algorithm for all 24 HONN models and uses a uniform weight update formulae for all 24 HONN models. In this chapter, Polynomial HONN, Trigonometric HONN, Sigmoid HONN, SINC HONN, and Ultra High Frequency HONN structure and models are overviewed too.

Publisher

IGI Global

Reference43 articles.

1. Data simulation using SINCHONN model;J.Crane;Proceedings of 2005 IASTED International Conference on Computational Intelligence,,2005

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3. Application of Higher-Order Neural Networks to Financial Time-Series Prediction

4. Using PT-HONN models for multi-polynomial function simulation.;B.Lu;Proceedings of IASTED International Conference on Neural Networks,,2000

5. Rainfall estimation using M-PHONN model.;H.Qi;Proceedings of 2001 International Joint Conference on Neural Networks,2001

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