Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

 Quantlet: rbfinfo Description: shows information about the given network

Reference(s):
Komorad, K. (2002): On Credit Scoring Estimation, Humbold-University Berlin, unpublished.

 Usage: rbfinfo(rbfnet) Input: rbfnet composed object (list), RBF network as computed by rbftrain or rbftrain2

Example:
```library("nn")		; load the library
; training set
randomize(2020)
n  = 10
xt = normal(n,2)+#(-1,-1)' | normal(n,2)+#(+1,+1)'
yt =(matrix(n)-1)|matrix(n)
; build the RBF network
clusters = 2
learn    = 0.1|0.2|0.1
epochs   = 5|5
mMSE     = 0.05
activ    = 0
rbfnet = rbftrain(xt,yt,clusters,learn,epochs,mMSE,activ)
; writes down the information
rbfinfo(rbfnet)

```
Result:
```Contents of t
[1,] " An  2 - 2 - 1 RBF-network"
[2,] " training epochs: 5 - 5"
[3,] " cluster's learning rates: 0.2000 - 0.1000"
[4,] " output's learning rate: 0.1000"
[5,] " minimum mean squared error: 0.050"
[6,] " BINARY sigmoid activation function"
[7,] " minimum MSE reached: 0.190974 "

Contents of t
[ 1,] " An  2 - 2 - 1 RBF-network"
[ 2,] " training epochs: 5 - 5"
[ 3,] " cluster's learning rates:"
[ 4,] "   0.200"
[ 5,] "   0.175"
[ 6,] "   0.150"
[ 7,] "   0.125"
[ 8,] "   0.100"
[ 9,] " output's learning rate: 0.100"
[10,] " minimum mean squared error: 0.050"
[11,] " BINARY sigmoid activation function"
[12,] "-----------------------------------"
[13,] " Input | Cluster |  Weight   "
[14,] "    1        1      0.784"
[15,] "    1        2      0.332"
[16,] "    2        1      0.740"
[17,] "    2        2      0.367"
[18,] "-----------------------------------"
[19,] " Cluster | Output |  Weight   "
[20,] "    1        1      0.428"
[21,] "    2        1     -0.755"
```