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
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
|
// Copyright (C) 2002 Samy Bengio (bengio@idiap.ch)
//
//
// This file is part of Torch. Release II.
// [The Ultimate Machine Learning Library]
//
// Torch is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// Torch 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 General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Torch; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#include "RBF.h"
namespace Torch {
RBF::RBF(int n_inputs_, int n_hidden_, int n_outputs_, bool is_linear_outputs_, bool inputs_to_outputs_,EMTrainer* kmeans_trainer)
{
n_hidden = n_hidden_;
is_linear_outputs = is_linear_outputs_;
inputs_to_outputs = inputs_to_outputs_;
add_layer = NULL;
sum_layer = NULL;
if (n_hidden>0) {
log_rbf_layer= new LogRBF(n_inputs_,n_hidden,kmeans_trainer);
log_rbf_layer->init();
addMachine(log_rbf_layer);
if (inputs_to_outputs_) {
add_layer = new Linear(n_inputs_,n_outputs_);
add_layer->init();
addMachine(add_layer);
}
exp_layer = new Exp(n_hidden);
exp_layer->init();
addLayer();
addMachine(exp_layer);
connectOn(log_rbf_layer);
addLayer();
outputs_layer = new Linear(n_hidden,n_outputs_);
outputs_layer->init();
addMachine(outputs_layer);
connectOn(exp_layer);
if (inputs_to_outputs_) {
sum_layer = new SumMachine(n_outputs_,2);
sum_layer->init();
addLayer();
addMachine(sum_layer);
connectOn(add_layer);
connectOn(outputs_layer);
}
} else {
outputs_layer = new Linear(n_inputs_,n_outputs_);
outputs_layer->init();
addFCL(outputs_layer);
}
if (!is_linear_outputs) {
outputs_tanh_layer = new Tanh(n_outputs_);
outputs_tanh_layer->init();
addFCL(outputs_tanh_layer);
}
}
RBF::~RBF()
{
if (n_hidden>0) {
delete log_rbf_layer;
delete exp_layer;
}
delete outputs_layer;
if (!is_linear_outputs)
delete outputs_tanh_layer;
if (add_layer)
delete add_layer;
if (inputs_to_outputs)
delete sum_layer;
}
}
|
