Book Details
Artificial Higher Order Neural Networks for Economics and Business
Artificial Higher Order Neural Networks for Economics and Business is the first book to provide practical education and applications for the millions of professionals working in economics, accounting, finance and other business areas on HONNs and the ease of their usage to obtain more accurate application results. This source provides significant, informative advancements in the subject and introduces the concepts of HONN group models and adaptive HONNs.
Acknowledgment
Section I
Artificial Higher Order Neural Networks for Economics
Chapter I Artificial Higher Order Neural Network Nonlinear Models: SAS NLIN or HONNs?
Chapter II Higher Order Neural Networks with Bayesian Confidence Measure for the Prediction of the EUR/USD Exchange Rate
Chapter III Automatically Identifying Predictor Variables for Stock Return Prediction
Chapter IV Higher Order Neural Network Architectures for Agent-Based Computational Economics and Finance
Chapter V Foreign Exchange Rate Forecasting Using Higher Order Flexible Neural Tree
Chapter VI Higher Order Neural Networks for Stock Index Modeling
Section II
Artificial Higher Order Neural Networks for Time Series Data
Chapter VII Ultra High Frequency Trigonometric Higher Order Neural Networks for Time Series Data Analysis
Chapter VIII Artificial Higher Order Pipeline Recurrent Neural Networks for Financial Time Series Prediction
Chapter IX A Novel Recurrent Polynomial Neural Network for Financial Time Series Prediction
Chapter X Generalized Correlation Higher Order Neural Networks for Financial Time Series Prediction
Chapter XI Artificial Higher Order Neural Networks in Time Series Prediction
Chapter XII Application of Pi-Sigma Neural Networks and Ridge Polynomial Neural Networks to Financial Time Series Prediction
Section III
Artificial Higher Order Neural Networks for Business
Chapter XIII Electric Load Demand and Electricity Prices Forecasting Using Higher Order Neural Networks Trained by Kalman Filtering
Chapter XIV Adaptive Higher Order Neural Network Models and Their Applications in Business
Chapter XV CEO Tenure and Debt: An Artificial Higher Order Neural Network Approach
Chapter XVI Modelling and Trading the Soybean-Oil Crush Spread with Recurrent and Higher Order Networks: A Comparative Analysis
Section IV
Artificial Higher Order Neural Networks Fundamentals
Chapter XVII Fundamental Theory of Artificial Higher Order Neural Networks
Chapter XVIII Dynamics in Artificial Higher Order Neural Networks with Delays
Chapter XIX A New Topology for Artificial Higher Order Neural Networks: Polynomial Kernel Networks
Chapter XX High Speed Optical Higher Order Neural Networks for Discovering Data Trends and Patterns in Very Large Databases
Chapter XXI On Complex Artificial Higher Order Neural Networks: Dealing with Stochasticity, Jumps and Delays
Chapter XXII Trigonometric Polynomial Higher Order Neural Network Group Models and Weighted Kernel Models for Financial Data Simulation and Prediction
About the Contributors
Index
A Course in Networks and Markets : Game-theoretic Models and Reasoning
Neural Plasticity : The Effects of Environment on the Development of the Cerebral Cortex
Digital Phoenix : Why the Information Economy Collapsed and How It Will Rise Again
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