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MuHad_300_80.cpp
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//-----------------------------------------------------------------------------
// Network: MuHad_300_80
// Inputs:
// Offset Scale
// offlinevar 9.886e+01 7.341e+01
//
// Created: Tue Mar 13 14:28:47 2012
//-----------------------------------------------------------------------------
#include <cmath>
#include <vector>
#include <iostream>
#include <stdlib.h>
//-----------------------------------------------------------------------------
// Make following visible only to this programming unit
namespace {
// NOTE: Network indices start at 0
static const int nnetworks=100;
static const int ninputs =1;
static const int nhidden =15;
static const int nparams =46;
static const double mean[ninputs]={
9.88600e+01
};
static const double sigma[ninputs]={
7.34100e+01
};
static const double weight[nnetworks][nparams]={
{ 0.266, 2.528, -0.326, -0.610, 0.208, 0.195, -0.236,
0.940, -0.063, 0.549, 0.102, -0.845, 0.018, -0.933,
-0.153, 1.292, -0.227, -0.129, -0.091, 0.670, 0.058,
-1.189, 0.165, 0.898, -0.254, -0.170, 0.034, 1.337,
0.167, -1.051, 2.046, 0.534, -0.135, 5.083, 1.754,
-1.634, -0.607, -3.125, -2.544, -2.179, 1.740, -0.764,
-3.493, 2.306, -0.920, -2.731
},
{ 0.171, 2.295, -0.042, -0.291, 0.245, 0.270, -0.035,
0.884, -0.203, 0.683, -0.051, -0.688, -0.048, -0.986,
-0.020, 1.386, -0.379, 0.297, -0.168, 0.714, -0.065,
-1.386, 0.260, 1.091, -0.319, -0.367, -0.221, 1.481,
0.231, -1.155, 1.585, 0.250, -0.274, 3.782, 1.590,
-1.976, -0.243, -4.313, -2.003, -2.486, 1.739, -0.846,
-3.287, 2.482, -0.415, -2.917
},
{ -0.040, 2.262, -0.310, -0.646, 0.121, 0.420, -0.143,
0.726, -0.305, 0.320, -0.073, -0.740, 0.131, -0.624,
-0.139, 1.297, -0.369, 0.260, -0.105, 0.095, -0.023,
-1.481, 0.215, 1.001, -0.328, -0.449, -0.452, 1.525,
0.137, -0.855, 1.842, 0.370, -0.691, 3.226, 0.382,
-1.791, -0.070, -4.379, -1.259, -2.813, 2.388, -1.085,
-2.946, 2.143, 0.003, -2.975
},
{ 0.024, 2.263, -0.066, -0.672, -0.084, 0.617, -0.087,
-0.005, -0.034, 0.223, 0.132, -0.540, 0.093, -0.545,
0.171, 1.332, -0.127, -0.041, -0.063, -0.145, -0.050,
-1.423, -0.033, 0.764, 0.067, -0.429, -0.048, 1.431,
0.100, -1.093, 2.446, 0.687, 0.027, 3.320, -0.143,
-1.800, -0.029, -4.985, -0.713, -2.314, 2.285, -0.239,
-2.461, 1.828, -0.534, -1.987
},
{ -0.003, 2.119, -0.018, -0.539, 0.020, 0.524, -0.076,
0.078, -0.029, 0.231, 0.109, -0.358, 0.008, -0.633,
-0.031, 1.037, 0.017, 0.082, 0.047, -0.625, 0.055,
-1.032, 0.106, 0.763, 0.093, -0.694, -0.012, 1.151,
-0.037, -0.849, 1.788, 0.572, -0.588, 4.184, 0.754,
-1.326, 0.589, -4.221, 0.092, -2.550, 1.280, -0.770,
-3.720, 2.600, 0.198, -2.409
},
{ 0.234, 1.621, -0.156, -0.705, -0.093, 0.272, -0.076,
-0.099, -0.006, 0.006, 0.173, -0.227, 0.208, -0.565,
-0.047, 0.892, -0.062, -0.430, 0.038, -0.599, -0.048,
-1.506, 0.118, 0.854, 0.034, -0.462, 0.087, 1.152,
0.096, -0.833, 3.157, 1.248, -0.346, 4.033, 0.472,
-1.534, 0.445, -4.219, -1.140, -2.893, 1.766, -0.578,
-3.232, 1.756, -1.570, -3.902
},
{ -0.053, 1.523, -0.035, -0.681, 0.006, 0.105, -0.009,
-0.192, 0.055, -0.217, 0.010, -0.477, 0.216, -0.596,
0.113, 1.055, -0.165, -0.312, -0.034, -0.877, -0.073,
-1.885, -0.085, 0.881, 0.069, -0.094, 0.139, 1.274,
0.039, -0.951, 2.342, 1.668, -0.835, 4.465, 0.267,
-1.983, 0.766, -4.275, -0.698, -2.591, 1.552, -0.433,
-3.227, 2.387, -1.911, -3.519
},
{ 0.073, 1.703, 0.047, -0.341, -0.098, 0.125, -0.024,
-0.248, 0.110, -0.194, 0.022, 0.130, 0.173, -0.810,
-0.166, 1.236, -0.008, -0.243, 0.080, -0.654, -0.085,
-1.895, -0.014, 0.959, 0.189, 0.017, 0.081, 1.024,
0.122, -1.133, 2.535, 1.501, -0.440, 4.228, 0.006,
-1.629, 0.717, -3.570, -1.281, -2.476, 1.951, -0.536,
-3.181, 2.248, -1.778, -3.132
},
{ 0.018, 1.154, 0.219, -0.438, -0.097, 0.055, 0.088,
-0.491, 0.048, 0.020, -0.022, -0.142, 0.204, -1.112,
-0.356, 1.024, 0.174, -0.598, 0.026, -0.123, -0.085,
-1.400, 0.033, 0.941, 0.362, -0.496, 0.138, 1.159,
0.109, -0.800, 3.039, 2.198, 0.024, 3.588, -0.791,
-2.110, -0.078, -4.120, -1.941, -2.875, 1.108, 0.179,
-3.095, 1.264, -1.533, -2.330
},
{ -0.179, 1.157, 0.014, -0.712, 0.016, 0.513, 0.094,
-0.372, 0.003, 0.603, -0.195, -0.359, 0.168, -1.115,
-0.138, 0.866, 0.234, -0.662, -0.029, 0.162, -0.075,
-0.722, -0.077, 1.055, 0.205, -0.941, 0.015, 0.934,
0.019, -0.866, 2.445, 1.656, -0.322, 4.081, -0.309,
-2.990, -0.752, -3.982, -2.040, -2.963, 0.345, 0.111,
-2.679, 1.490, -2.013, -2.547
},
{ -0.151, 1.072, -0.110, -0.582, -0.078, 0.264, -0.033,
-0.519, 0.112, 0.562, -0.013, -0.252, 0.025, -0.974,
-0.003, 0.690, 0.163, -1.013, -0.155, 0.159, -0.202,
-0.891, 0.005, 0.858, 0.128, -1.106, -0.064, 0.990,
-0.027, -0.914, 2.379, 0.328, -0.622, 3.647, -0.584,
-3.032, -0.381, -4.080, -1.896, -3.296, -0.528, -1.108,
-3.065, 1.527, -1.928, -2.855
},
{ -0.140, 1.034, -0.008, -0.563, 0.038, 0.495, 0.196,
-0.553, -0.048, 0.675, -0.109, -0.192, 0.305, -1.302,
-0.040, 0.418, 0.096, -0.833, 0.073, 0.057, -0.102,
-0.871, 0.059, 0.637, 0.182, -1.141, -0.026, 0.900,
-0.180, -0.911, 2.128, 0.583, -0.829, 3.543, 0.123,
-2.806, -0.991, -3.434, -1.729, -3.669, -1.239, -0.206,
-3.154, 1.430, -2.772, -2.348
},
{ 0.045, 0.687, 0.024, 0.074, 0.069, 0.394, 0.199,
-0.491, -0.122, 1.387, 0.022, -0.424, 0.087, -1.470,
-0.058, 0.450, 0.174, -0.839, 0.048, 0.468, -0.046,
-0.888, 0.190, 0.540, 0.112, -0.740, 0.009, 1.282,
-0.146, -0.887, 2.431, 1.031, -1.042, 3.790, -0.277,
-1.676, -1.501, -3.781, -1.192, -3.436, -1.508, -0.699,
-3.428, 1.465, -2.930, -2.149
},
{ -0.103, 0.924, 0.032, -0.117, -0.156, 0.419, -0.115,
-0.318, 0.013, 1.285, -0.131, -0.234, 0.071, -1.420,
0.085, -0.177, -0.154, -0.887, -0.017, 0.351, 0.022,
-0.839, -0.081, 0.547, 0.010, -0.568, 0.006, 1.127,
0.221, -1.047, 2.439, 0.812, 0.324, 2.966, -0.196,
-1.413, -0.774, -3.749, -1.980, -2.338, -0.864, -0.793,
-4.092, 0.635, -3.742, -2.350
},
{ 0.153, 0.980, -0.098, 0.062, 0.081, 0.093, 0.010,
-0.240, 0.103, 1.538, -0.017, -0.442, 0.018, -1.761,
-0.019, 0.036, 0.035, -1.005, 0.122, 0.582, 0.001,
-0.984, 0.100, 0.675, 0.026, -0.845, 0.150, 1.297,
-0.223, -0.851, 1.920, 0.772, 0.333, 3.414, -1.173,
-1.784, -0.823, -3.837, -1.368, -2.215, -0.491, -0.806,
-3.097, 0.713, -2.730, -2.639
},
{ 0.022, 0.583, -0.094, 0.481, 0.079, 0.653, 0.016,
-0.506, -0.017, 0.585, 0.006, -0.363, -0.009, -1.638,
-0.169, -0.242, 0.154, -0.469, 0.106, 0.090, -0.085,
-1.237, 0.077, 0.646, 0.018, -0.141, 0.106, 1.280,
-0.062, -0.896, 2.098, 0.750, -0.240, 3.059, -1.418,
-2.228, -1.501, -2.610, -1.823, -2.860, -1.199, 0.064,
-4.175, 1.381, -2.839, -1.965
},
{ -0.059, 0.460, -0.015, 0.241, -0.024, 0.497, 0.004,
-0.491, -0.002, 0.393, 0.013, -0.516, 0.105, -1.220,
-0.049, -0.344, -0.048, -0.846, -0.088, -0.210, -0.039,
-1.138, 0.011, 0.564, -0.091, -0.416, -0.012, 1.281,
0.056, -0.697, 2.114, 0.946, 0.388, 2.659, -0.429,
-2.027, -0.849, -2.538, -1.330, -2.617, -0.309, -0.392,
-4.038, 1.428, -2.852, -2.286
},
{ 0.021, 0.666, 0.106, 0.121, -0.075, 0.464, -0.024,
-0.736, -0.031, 0.415, -0.026, -0.906, 0.121, -0.666,
0.060, -0.488, -0.008, -0.655, -0.076, -0.483, -0.007,
-1.284, 0.001, 0.628, -0.049, -0.323, 0.044, 0.794,
0.078, -0.993, 2.546, 0.575, 0.550, 2.327, -0.542,
-2.179, -0.775, -2.895, -2.131, -1.911, 0.247, -0.270,
-4.021, 1.258, -2.339, -2.055
},
{ -0.005, 0.406, 0.003, -0.118, 0.098, 0.623, 0.081,
-0.974, 0.000, 0.439, 0.061, -0.188, -0.016, -0.523,
-0.063, -0.185, 0.045, -0.830, -0.038, -0.173, 0.058,
-1.476, 0.150, 0.551, 0.032, -0.490, 0.003, 0.790,
-0.007, -0.969, 1.997, 0.557, -0.079, 3.207, -0.118,
-2.046, -0.523, -2.947, -1.816, -1.204, 0.621, -0.819,
-3.963, 0.367, -2.624, -2.301
},
{ 0.141, 0.591, -0.215, 0.049, -0.190, 0.623, -0.199,
-0.735, -0.230, 0.704, 0.249, -0.617, -0.048, -0.805,
-0.148, -0.415, 0.105, -0.417, -0.040, -0.232, -0.057,
-1.225, -0.146, 0.551, -0.251, -0.464, 0.134, 0.894,
0.082, -1.052, 2.096, 0.461, -1.088, 3.192, 0.110,
-1.111, -0.428, -2.800, -2.382, -0.841, 0.028, -0.414,
-2.912, 1.064, -3.209, -2.747
},
{ 0.087, 0.959, 0.323, -0.064, 0.135, 0.403, 0.032,
-0.536, 0.006, 1.070, 0.158, -0.580, -0.022, -0.919,
0.164, -0.555, 0.100, -0.003, -0.020, 0.176, 0.060,
-1.072, 0.101, 0.581, -0.058, -0.488, 0.099, 0.886,
0.149, -1.000, 3.263, 0.310, -1.341, 3.784, -0.159,
-1.363, -0.432, -2.532, -2.401, -1.584, -0.964, -0.443,
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},
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-0.093, -0.086, -0.422, 0.249, 0.169, -0.030, 0.019,
0.107, -0.864, 3.612, -1.191, -0.153, 3.703, 3.565,
2.170, 0.702, -3.333, -2.081, -0.370, 1.491, -1.000,
-0.378, -1.253, -6.413, -1.077
},
{ 0.148, 0.335, -0.099, 0.429, -0.185, -0.476, -0.213,
0.329, 0.006, 0.062, 0.171, -0.415, 0.154, -0.582,
0.207, -0.412, 0.114, -0.533, -0.200, 1.188, 0.057,
0.097, -0.073, -0.421, 0.289, 0.291, 0.016, 0.084,
-0.136, -0.917, 3.946, -0.310, 0.026, 3.404, 2.677,
2.162, 0.849, -3.283, -1.477, -0.513, 0.982, -0.881,
-0.409, -0.790, -6.397, -1.205
},
{ -0.001, 0.440, -0.059, 0.483, -0.081, -0.435, -0.119,
0.426, -0.113, 0.366, 0.118, -0.501, 0.268, -0.897,
0.209, -0.394, -0.164, -0.630, -0.041, 1.094, 0.420,
0.093, 0.005, -0.720, 0.101, -0.041, 0.033, 0.215,
-0.441, -0.559, 3.732, -0.587, -0.160, 3.792, 3.862,
2.730, 0.891, -3.143, -0.755, -0.016, 0.983, -0.514,
-0.361, -0.499, -6.236, -1.257
},
{ -0.350, 0.675, 0.143, 0.385, -0.075, -0.751, -0.047,
0.395, -0.168, 0.391, 0.239, -0.258, 0.170, -0.908,
0.281, -0.312, -0.453, -1.257, -0.238, 1.173, 0.393,
-0.309, -0.060, -0.567, 0.129, -0.425, 0.116, 0.196,
-0.354, -0.424, 3.983, 0.026, 0.308, 3.911, 4.068,
3.129, 1.234, -3.726, -0.878, 0.311, 0.945, -0.261,
-0.205, -0.211, -6.204, -1.290
},
{ -0.086, 0.812, -0.161, 0.274, 0.026, -0.724, -0.383,
0.328, -0.297, 0.680, 0.332, -0.065, 0.217, -0.852,
0.250, -0.626, -0.363, -1.271, -0.155, 1.095, 0.346,
-0.259, -0.335, -0.338, 0.061, -0.399, -0.044, 0.248,
-0.478, -0.409, 4.035, 0.293, 0.195, 3.339, 4.727,
3.112, 2.019, -3.652, -0.094, -0.021, 0.679, -0.096,
0.659, -0.818, -6.674, -1.189
},
{ -0.313, 0.934, -0.598, 0.313, -0.441, -0.760, -0.314,
0.277, -0.105, 0.471, 0.356, 0.000, 0.168, -0.774,
0.015, -0.710, -0.166, -0.843, -0.219, 1.176, 0.236,
-0.331, -0.393, -0.242, -0.092, -0.188, 0.012, 0.201,
-0.378, -0.579, 4.008, 0.769, -0.659, 2.694, 3.845,
2.555, 2.108, -2.958, 0.401, -0.762, 0.292, -1.029,
1.520, -1.060, -6.567, -1.732
},
{ -0.398, 0.925, -0.292, 0.501, -0.424, -0.784, -0.374,
0.164, 0.032, 0.385, 0.477, -0.091, 0.030, -0.929,
-0.085, -0.623, -0.122, -0.967, -0.102, 1.209, -0.106,
-0.365, -0.079, -0.480, -0.202, -0.065, 0.174, 0.288,
-0.425, -0.606, 4.054, 1.404, 0.037, 3.072, 4.617,
2.255, 2.372, -2.959, 0.235, -1.170, 0.245, -1.379,
1.311, -0.875, -6.337, -2.039
},
{ -0.213, 0.430, -0.446, -0.002, -0.375, -0.874, -0.274,
0.172, -0.141, 0.415, 0.330, 0.120, 0.084, -1.124,
-0.084, -0.432, 0.126, -0.745, -0.057, 1.127, -0.114,
-0.239, 0.220, -0.803, 0.043, -0.293, 0.217, 0.189,
-0.295, -0.696, 4.502, 0.707, 0.089, 3.468, 4.408,
1.958, 2.206, -3.338, 0.380, -1.178, 0.283, -1.665,
1.986, -1.095, -6.377, -2.006
}
};
double netfun(std::vector<double>& in, const double* w)
{
double x00 = in[0];
double x;
//Layer 1, Node 0
x = w[0];
x = x + w[1] * x00;
double x10 = tanh(x);
//Layer 1, Node 1
x = w[2];
x = x + w[3] * x00;
double x11 = tanh(x);
//Layer 1, Node 2
x = w[4];
x = x + w[5] * x00;
double x12 = tanh(x);
//Layer 1, Node 3
x = w[6];
x = x + w[7] * x00;
double x13 = tanh(x);
//Layer 1, Node 4
x = w[8];
x = x + w[9] * x00;
double x14 = tanh(x);
//Layer 1, Node 5
x = w[10];
x = x + w[11] * x00;
double x15 = tanh(x);
//Layer 1, Node 6
x = w[12];
x = x + w[13] * x00;
double x16 = tanh(x);
//Layer 1, Node 7
x = w[14];
x = x + w[15] * x00;
double x17 = tanh(x);
//Layer 1, Node 8
x = w[16];
x = x + w[17] * x00;
double x18 = tanh(x);
//Layer 1, Node 9
x = w[18];
x = x + w[19] * x00;
double x19 = tanh(x);
//Layer 1, Node 10
x = w[20];
x = x + w[21] * x00;
double x110 = tanh(x);
//Layer 1, Node 11
x = w[22];
x = x + w[23] * x00;
double x111 = tanh(x);
//Layer 1, Node 12
x = w[24];
x = x + w[25] * x00;
double x112 = tanh(x);
//Layer 1, Node 13
x = w[26];
x = x + w[27] * x00;
double x113 = tanh(x);
//Layer 1, Node 14
x = w[28];
x = x + w[29] * x00;
double x114 = tanh(x);
//Layer 2, Node 0
x = w[30];
x = x + w[31] * x10;
x = x + w[32] * x11;
x = x + w[33] * x12;
x = x + w[34] * x13;
x = x + w[35] * x14;
x = x + w[36] * x15;
x = x + w[37] * x16;
x = x + w[38] * x17;
x = x + w[39] * x18;
x = x + w[40] * x19;
x = x + w[41] * x110;
x = x + w[42] * x111;
x = x + w[43] * x112;
x = x + w[44] * x113;
x = x + w[45] * x114;
double x20 = 1.0/(1.0+exp(-x));
return x20;
}
}; // End anonymous namespace
//-----------------------------------------------------------------------------
// Compute average over networks. Default is to use all networks
//-----------------------------------------------------------------------------
double MuHad_300_80(std::vector<double>& inputvars,
int first=0,
int last=nnetworks-1)
{
if ( first < 0 ) first = 0;
if ( last < 0 ) last = nnetworks-1;
if ( last > nnetworks-1 ) last = nnetworks-1;
if ( first > last )
{
std::cerr << "** MuHad_300_80 ** first-index > last-index"
<< std::endl; exit(3);
}
// Compute average over networks
std::vector<double> in(ninputs);
in[0] = (inputvars[0] - mean[0]) / sigma[0];
int n = last - first + 1;
double x = 0.0;
for(int i=first; i <= last; i++) x += netfun(in, weight[i]);
return x / n;
}
extern "C" double MuHad_300_80_dl(std::vector<double>& in,
int first=0,
int last=nnetworks-1)
{
return MuHad_300_80(in, first, last);
}
extern "C" double MuHad_300_80_dl2(double* in,
int first=0,
int last=nnetworks-1)
{
std::vector<double> invec;
invec.push_back(in[0]);
return MuHad_300_80(invec, first, last);
}