class RubyBrain::Nodes::Neuron
Attributes
left_side_weights[RW]
order_index[RW]
right_side_weights[RW]
this_backward_output[R]
this_output[R]
Public Class Methods
new(gain=1.0)
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# File lib/ruby_brain/nodes.rb, line 6 def initialize(gain=1.0) @gain = gain @this_output = nil @this_backward_output = nil end
Public Instance Methods
get_backward_sigmoid_output(backward_sigmoid_input)
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# File lib/ruby_brain/nodes.rb, line 16 def get_backward_sigmoid_output(backward_sigmoid_input) @gain * (1 - @this_output) * @this_output * backward_sigmoid_input end
get_sigmoid_output(sigmoid_input)
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# File lib/ruby_brain/nodes.rb, line 12 def get_sigmoid_output(sigmoid_input) 1.0 / (1 + Math.exp(-1 * @gain * sigmoid_input)) end
output_of_backward_calc(backward_inputs)
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# File lib/ruby_brain/nodes.rb, line 28 def output_of_backward_calc(backward_inputs) sigmoid_backward_input = 0.0 if @right_side_weights.nil? sigmoid_backward_input = backward_inputs[@order_index] else @right_side_weights[@order_index].zip(backward_inputs).each do |weight, input| sigmoid_backward_input += input * weight end end @this_backward_output = get_backward_sigmoid_output(sigmoid_backward_input) end
output_of_forward_calc(inputs)
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# File lib/ruby_brain/nodes.rb, line 20 def output_of_forward_calc(inputs) sigmoid_input = 0.0 @left_side_weights.transpose[@order_index].zip(inputs).each do |weight, input| sigmoid_input += input * weight end @this_output = get_sigmoid_output(sigmoid_input) end