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Package Bio :: Package NeuralNetwork :: Package BackPropagation :: Module Layer :: Class AbstractLayer
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Class AbstractLayer

Known Subclasses:
HiddenLayer, InputLayer, OutputLayer
Abstract base class for all layers.
Method Summary
  __init__(self, num_nodes, has_bias_node)
Initialize the layer.
  __str__(self)
Debugging output.
  set_weight(self, this_node, next_node, value)
Set a weight value from one node to the next.

Method Details

__init__(self, num_nodes, has_bias_node)
(Constructor)

Initialize the layer.

Arguments:

o num_nodes -- The number of nodes that are contained in this layer.

o has_bias_node -- Specify whether or not this node has a bias node. This node is not included in the number of nodes in the network, but is used in constructing and dealing with the network.

__str__(self)
(Informal representation operator)

Debugging output.

set_weight(self, this_node, next_node, value)

Set a weight value from one node to the next.

If weights are not explicitly set, they will be initialized to random values to start with.

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