| 3 | number_of_grids |
| 1 10 10 | size_of_input_hidden_output_grid |
| 1 | flag_bias_to_output_connections |
| 0 | flag_direct_connections |
| 0 | flag_load_net |
| 0.25 0.0 | wire_sigma_init |
| 1 1.0 1.0 | flag_pao___steep_bias |
Row 1
Number of layers in the network, set to 3 for the
input, first hidden and kernel
layers.
Adjacent layers all all-to-all connected.
The nodes in the first hidden layer are
connected to the bias node.
Row 2
Three integers indicating the numbers of nodes in the
input, first hidden and kernel
layers (in this order).
Row 3
Flag variable for bias-to-kernel connections.
If set to 1, the Gaussian kernels are connected to
the bias node. If set to 0, these connections are
omitted.
Row 4
Flag variable for direct connections.
If set to 1, the input layer is
connected to the kernel layer.
If set to 0, direct connections are omitted.
Row 5
Flag variable for loading a network into internal
memory. If set to 0, no network is loaded, and the
weights are randomly initialised.
If set to 1, the network parameters are read in
from file w_0.net.
Row 6
First number: Standard deviation of the Gaussian
distribution from which the adaptable weights are drawn
during initialisation. Leave the second number unchanged.
Row 7
First number: Flag variable for RVFL.
If set to 1, an RVFL network is created, in which
the input-to-first-hidden-layer weights
and the bias-to-first-hidden-layer weights
are held constant.
The former are drawn from a Gaussian with a standard deviation
given by the second number.
The latter are drawn from a Gaussian with a standard deviation
given by the third number.
If the first number is set to 0, a standard Gaussian
mixture network is created, in which all parameters
are adapted.