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About 10,000 papers for “Function approximation”

Function Approximation

Jeffrey T. Spooner, Manfredi Maggiore, Raúl Ordóñez et al. · 2002

This chapter shows that fuzzy systems or neural networks with a given structure possess the ability to approximate large classes of functions simply by changing their parameters; hence, they can represent, for example, a large class of plant nonlinearities. This is important since it provides a theoretical foundation on which the later techniques are built.

Cited by 0

Function Approximation

Burkhard Heer, Alfred Maußner · Springer texts in business and economics · 2024

Cited by 2

Function Approximation

C. Pozrikidis · 2008

Abstract We are given a certain amount of information about a function, f (x), in a specified interval, [a, b], and would like to sensibly approximate or represent the function with another simpler function, q(x), in the same interval. The information given may include values of f (x) and possibly its derivatives at specific points, encapsulated in the data. The approximating function, q(x), is usually chosen to be a polynomial. Other choices include rational functions defined as the ratios of two polynomials, exponential, trigonometric, and more involved sets of basis functions.

Cited by 1

Calculator Function Approximation

Charles W. Schelin · American Mathematical Monthly · 1983

(1983). Calculator Function Approximation. The American Mathematical Monthly: Vol. 90, No. 5, pp. 317-325.

Cited by 27