Class: Neuronet::ScaledNetwork

Inherits:
FeedForward show all
Defined in:
lib/neuronet.rb

Overview

Series Network for similar input/output values

Instance Attribute Summary collapse

Attributes inherited from FeedForward

#in, #learning, #out, #yang, #yin

Instance Method Summary collapse

Methods inherited from FeedForward

#exemplar, #mu, #muk, #num, #update

Constructor Details

#initialize(layers) ⇒ ScaledNetwork

Returns a new instance of ScaledNetwork.



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# File 'lib/neuronet.rb', line 320

def initialize(layers)
  super(layers)
  @distribution = Gaussian.new
end

Instance Attribute Details

#distribution ⇒ Object

Returns the value of attribute distribution.



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# File 'lib/neuronet.rb', line 318

def distribution
  @distribution
end

Instance Method Details

#input ⇒ Object 



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# File 'lib/neuronet.rb', line 343

def input
  @distribution.unmapped_input(super)
end

#output ⇒ Object 



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# File 'lib/neuronet.rb', line 339

def output
  @distribution.unmapped_output(super)
end

#reset(inputs) ⇒ Object 



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# File 'lib/neuronet.rb', line 334

def reset(inputs)
  @distribution.set(inputs)
  set(inputs)
end

#set(inputs) ⇒ Object

Parameters:

  • values (List of Float) 


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# File 'lib/neuronet.rb', line 330

def set(inputs)
  super(@distribution.mapped_input(inputs))
end

#train!(targets) ⇒ Object 



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# File 'lib/neuronet.rb', line 325

def train!(targets)
  super(@distribution.mapped_output(targets))
end