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/*
fuzzylite (R), a fuzzy logic control library in C++.
Copyright (C) 2010-2017 FuzzyLite Limited. All rights reserved.
Author: Juan Rada-Vilela, Ph.D. <jcrada@fuzzylite.com>
This file is part of fuzzylite.
fuzzylite is free software: you can redistribute it and/or modify it under
the terms of the FuzzyLite License included with the software.
You should have received a copy of the FuzzyLite License along with
fuzzylite. If not, see <http://www.fuzzylite.com/license/>.
fuzzylite is a registered 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";
}
Complexity Gaussian::complexity() const {
return Complexity().comparison(1).arithmetic(7).function(1);
}
scalar Gaussian::membership(scalar x) const {
if (Op::isNaN(x)) return fl::nan;
return Term::_height * std::exp((-(x - _mean) * (x - _mean)) / (2.0 * _standardDeviation * _standardDeviation));
}
std::string Gaussian::parameters() const {
return Op::join(2, " ", _mean, _standardDeviation) +
(not Op::isEq(getHeight(), 1.0) ? " " + Op::str(getHeight()) : "");
}
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 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 mean) {
this->_mean = mean;
}
scalar Gaussian::getMean() const {
return this->_mean;
}
void Gaussian::setStandardDeviation(scalar standardDeviation) {
this->_standardDeviation = standardDeviation;
}
scalar Gaussian::getStandardDeviation() const {
return this->_standardDeviation;
}
Gaussian* Gaussian::clone() const {
return new Gaussian(*this);
}
Term* Gaussian::constructor() {
return new Gaussian;
}
}
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