by Neil E. Cotter

Research Assistant Professor

Last Updated: 11/7/10

 

 

Function Approximations

Case study, rolling steel (pdf)

Examples in industry | (pdf)

Interpolation

Overview (pdf)

Linear interpolation (pdf)

Multiple interpolation 2-D (pdf)

Method comparison chart (pdf)

Fourier chart (pdf)

Fuzzy logic chart (pdf)

Neural network [sigmoid] chart (pdf)

Triangulation chart (pdf)

Basis function networks

Overview (pdf)

Fourier (pdf)

Expert system/Perceptron (pdf)

Fuzzy logic (pdf)

Neural network [sigmoid] (pdf)

Radial basis functions (pdf)

Padé approximation

Tutorial (pdf)

VC dimension

†Volume and surface area of n-sphere

†Number of hyperplane decision regions

*†The Stone-Weierstrass theorem and Its Application to Neural Networks

Stone-Weierstrass theorem

†Identity function

†Separability

†Algebraic closure

Examples

Fourier Series (pdf)

Polynomials (pdf)

Deficient polynomials (pdf)

Exponentials (pdf)

Partial fractions (pdf)

†Perceptron network (pdf)

Neural Network [sigmoid] (pdf)

Universal approximation (from Neural Networks)

Perceptron is Turing equivalent (pdf)

Lippmann’s three-layer sigmoid network (pdf)

Two-layer sigmoid network universal not Stone-Weierstrass (pdf)

Two-layer sigmoid network universal (pdf)

*†The CMAC and a Theorem of Kolmogorov

*†Universal Approximation by Phase Series and Fixed-Weight Networks

*†A Pulsed Neural Network Capable of Universal Approximation