|
SurGe 6.50
|
SurGe is a computer program which enables to generate a surface as an interpolation (approximation) function of two independent variables; implements an interpolation / approximation method called ABOS which produces a surface comparable to a surface created by Kriging or Minimum curvature method.
interpolation, surface, mapping software, minimum curvature, kriging, approximation
approximation, neural networks, B-splines and parametric curves least squares approximations, plus a library of over 300 industry-specific 2D formulas. Built-in Wizard helps to apply different curve fits to discover the model that best describes the data. Last version includes the peak fitting features. The software enables you to smooth, interpolate, apply FFT and Wavelet filters, subtract, differentiate, integrate, and transform data and curves
parametric, chart, equation, interpolate, digitizing, logistic, approximation, curve, math, regression, data analysis, plotting, fitting
Approximates continuous functions in 1 to 4 independent variables by finite power and/or trigonometric series. The program fits the function exactly at the grid points.
interpolation, science, mathematics, math, engineering, approximation
Approximates tabulated functions in 1 to 4 independent variables by finite power and/or trigonometric series. The program fits the function exactly at the grid points.
interpolation, science, mathematics, math, engineering, approximation
Source code for fast training of multilayer perceptron for approximation. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuMap7.06. The training algorithm can be modified to be substantially better than BP. For winzip password, go to :http://www-ee.uta.edu/eeweb/ip/Software/Software.htm
multilayer perceptron, fast training, source code, approximation, neural network
Freeware for fast training, validation, and application of regression/approximation networks including the multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization.
multilayer perceptron, fast training, regression, validation, approximation, neural network