Beyond Volterra and Wiener: Optimal Modeling of Nonlinear Dynamical Systems in a Neural Space for Applications in Computational Intelligence

This chapter contains sections titled:

• Introduction

• Classes of Nonlinear Dynamical System Models

• The de Figueiredo-Dwyer-Zyla Space F

• Derivation of Sigmoid Functionals

• Best Robust Approximation of f in the Neural Space N

• Optimal Combined Structural and Parametric Modeling of Nonlinear Dynamical Systems in N

• Computationally Intelligent (CI) Systems

• Concluding Remarks

This chapter contains sections titled:

• References