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Diffstat (limited to 'fuzzylite/src/term/Gaussian.cpp')
-rw-r--r-- | fuzzylite/src/term/Gaussian.cpp | 92 |
1 files changed, 92 insertions, 0 deletions
diff --git a/fuzzylite/src/term/Gaussian.cpp b/fuzzylite/src/term/Gaussian.cpp new file mode 100644 index 0000000..5b709f9 --- /dev/null +++ b/fuzzylite/src/term/Gaussian.cpp @@ -0,0 +1,92 @@ +/* + Author: Juan Rada-Vilela, Ph.D. + Copyright (C) 2010-2014 FuzzyLite Limited + All rights reserved + + This file is part of fuzzylite. + + fuzzylite is free software: you can redistribute it and/or modify it under + the terms of the GNU Lesser General Public License as published by the Free + Software Foundation, either version 3 of the License, or (at your option) + any later version. + + fuzzylite is distributed in the hope that it will be useful, but WITHOUT + ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or + FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License + for more details. + + You should have received a copy of the GNU Lesser General Public License + along with fuzzylite. If not, see <http://www.gnu.org/licenses/>. + + fuzzyliteâ„¢ is a trademark of FuzzyLite Limited. + + */ + +#include "fl/term/Gaussian.h" + +namespace fl { + + Gaussian::Gaussian(const std::string& name, + scalar mean, scalar standardDeviation, scalar height) + : Term(name, height), _mean(mean), _standardDeviation(standardDeviation) { + } + + Gaussian::~Gaussian() { + } + + std::string Gaussian::className() const { + return "Gaussian"; + } + + scalar Gaussian::membership(scalar x) const { + if (fl::Op::isNaN(x)) return fl::nan; + return _height * std::exp((-(x - _mean) * (x - _mean)) / (2 * _standardDeviation * _standardDeviation)); + } + + std::string Gaussian::parameters() const { + return Op::join(2, " ", _mean, _standardDeviation) + + (not Op::isEq(_height, 1.0) ? " " + Op::str(_height) : ""); + } + + void Gaussian::configure(const std::string& parameters) { + if (parameters.empty()) return; + std::vector<std::string> values = Op::split(parameters, " "); + std::size_t required = 2; + if (values.size() < required) { + std::ostringstream ex; + ex << "[configuration error] term <" << className() << ">" + << " requires <" << required << "> parameters"; + throw fl::Exception(ex.str(), FL_AT); + } + setMean(Op::toScalar(values.at(0))); + setStandardDeviation(Op::toScalar(values.at(1))); + if (values.size() > required) + setHeight(Op::toScalar(values.at(required))); + } + + void Gaussian::setMean(scalar c) { + this->_mean = c; + } + + scalar Gaussian::getMean() const { + return this->_mean; + } + + void Gaussian::setStandardDeviation(scalar sigma) { + this->_standardDeviation = sigma; + } + + scalar Gaussian::getStandardDeviation() const { + return this->_standardDeviation; + } + + Gaussian* Gaussian::clone() const { + return new Gaussian(*this); + } + + Term* Gaussian::constructor() { + return new Gaussian; + } + + +} |