diff options
Diffstat (limited to 'fuzzylite/src/term/Gaussian.cpp')
| -rw-r--r-- | fuzzylite/src/term/Gaussian.cpp | 48 |
1 files changed, 21 insertions, 27 deletions
diff --git a/fuzzylite/src/term/Gaussian.cpp b/fuzzylite/src/term/Gaussian.cpp index 5b709f9..8413b59 100644 --- a/fuzzylite/src/term/Gaussian.cpp +++ b/fuzzylite/src/term/Gaussian.cpp @@ -1,25 +1,17 @@ /* - Author: Juan Rada-Vilela, Ph.D. - Copyright (C) 2010-2014 FuzzyLite Limited - All rights reserved + 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 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. + the terms of the FuzzyLite License included with the software. - 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/>. - - fuzzylite™ is a trademark of FuzzyLite Limited. + 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" @@ -28,24 +20,26 @@ namespace fl { Gaussian::Gaussian(const std::string& name, scalar mean, scalar standardDeviation, scalar height) - : Term(name, height), _mean(mean), _standardDeviation(standardDeviation) { - } + : Term(name, height), _mean(mean), _standardDeviation(standardDeviation) { } - Gaussian::~Gaussian() { - } + 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 (fl::Op::isNaN(x)) return fl::nan; - return _height * std::exp((-(x - _mean) * (x - _mean)) / (2 * _standardDeviation * _standardDeviation)); + 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(_height, 1.0) ? " " + Op::str(_height) : ""); + (not Op::isEq(getHeight(), 1.0) ? " " + Op::str(getHeight()) : ""); } void Gaussian::configure(const std::string& parameters) { @@ -56,7 +50,7 @@ namespace fl { std::ostringstream ex; ex << "[configuration error] term <" << className() << ">" << " requires <" << required << "> parameters"; - throw fl::Exception(ex.str(), FL_AT); + throw Exception(ex.str(), FL_AT); } setMean(Op::toScalar(values.at(0))); setStandardDeviation(Op::toScalar(values.at(1))); @@ -64,16 +58,16 @@ namespace fl { setHeight(Op::toScalar(values.at(required))); } - void Gaussian::setMean(scalar c) { - this->_mean = c; + void Gaussian::setMean(scalar mean) { + this->_mean = mean; } scalar Gaussian::getMean() const { return this->_mean; } - void Gaussian::setStandardDeviation(scalar sigma) { - this->_standardDeviation = sigma; + void Gaussian::setStandardDeviation(scalar standardDeviation) { + this->_standardDeviation = standardDeviation; } scalar Gaussian::getStandardDeviation() const { |