Functions {hyperbolic basis function} (HBF) can allow more flexibility than radial basis functions. Networks can express weighted function f*(x) = summation over i from 1 to N of c(i) * G(transpose of (x - t(i)) * transpose of W * W * (x - t(i))) + p(x), where x are data-point values, t(i) are means or centers, c(i) are weights or coefficients, p(x) sets f(x) = 0, G is Gaussian distribution, and W is square matrix. Norm has weights: transpose of (x - t(i)) * transpose of W * W * (x - t(i)).
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3-Computer Science-System Analysis-Functions
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Date Modified: 2022.0224