1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
|
/*
* Copyright (C) 2005-2022 Centre National d'Etudes Spatiales (CNES)
* Copyright (C) 2007-2012 Institut Mines Telecom / Telecom Bretagne
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef otbSOMLearningBehaviorFunctor_h
#define otbSOMLearningBehaviorFunctor_h
namespace otb
{
namespace Functor
{
/** \class SOMLearningBehaviorFunctor
* \brief Classical Beta behavior over SOM training phase
*
* This class implements an standard evolution of the \f$ \beta \f$ weightening
* coefficient over the SOM training.
*
* \f[
\beta = \beta_0 + \left( \beta_{\textrm{end}} - \beta_0 \right)
\frac{t}{t_{\textrm{end}}}
\f]
*
* \sa SOM
*
* \ingroup OTBSOM
*/
class SOMLearningBehaviorFunctor
{
public:
/** Empty constructor / descructor */
SOMLearningBehaviorFunctor()
{
}
virtual ~SOMLearningBehaviorFunctor()
{
}
/** Functor */
virtual double operator()(unsigned int currentIteration, unsigned int numberOfIterations, double betaInit, double betaEnd) const
{
return betaInit + (betaEnd - betaInit) * static_cast<double>(currentIteration) / static_cast<double>(numberOfIterations);
}
}; // end of class SOMLearningBehaviorFunctor
} // end namespace Functor
} // end namespace otb
#endif
|
