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Curve fitting using natural computation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/app.1985.070300728openalex-snapshot
Infrared spectra of poly(ethylene terephthalate) yarns. Fitting of spectra, evaluation of parameters, and applications
inferredcites →https://doi.org/10.1002/app.1993.070490518openalex-snapshot
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Neural networks used as a soft-modelling technique for quantitative description of the relation between physical structure and mechanical properties of poly(ethylene terephthalate) yarns
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Combined deconvolution and curve fitting for quantitative analysis of unresolved spectral bands
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Spectral peak verification and recognition using a multilayered neural network
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Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
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Critical evaluation of curve fitting in infrared spectrometry
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X. Contributions to the mathematical theory of evolution.—II. Skew variation in homogeneous material
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Gates towards evolutionary large-scale optimization: A software-oriented approach to genetic algorithms—I. General perspective
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CFIT: a genetic algorithm for survival of the fitting
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Spectral curve fitting of infrared spectra obtained from semi-crystalline polyester yarns
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A hybrid genetic algorithm with local search
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