Class: AssociativeMemory::Network

Inherits:
Object
  • Object
show all
Defined in:
lib/associative_memory/network.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(options = {}) ⇒ Network

Returns a new instance of Network.



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# File 'lib/associative_memory/network.rb', line 8

def initialize(options={})
	@matrix = []
end

Instance Attribute Details

#matrix ⇒ Object

Returns the value of attribute matrix.



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# File 'lib/associative_memory/network.rb', line 6

def matrix
  @matrix
end

Instance Method Details

#bitmask(vector) ⇒ Object 



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# File 'lib/associative_memory/network.rb', line 56

def bitmask(vector)
	vector.map do |element|
		if element < 0 then 0 else 1 end
	end
end

#converge_and_bitmask_input(input) ⇒ Object 



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# File 'lib/associative_memory/network.rb', line 43

def converge_and_bitmask_input(input)
	bitmask(converge_input(input))
end

#converge_and_bitmask_output(output) ⇒ Object 



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# File 'lib/associative_memory/network.rb', line 52

def converge_and_bitmask_output(output)
	bitmask(converge_output(output))
end

#converge_input(input) ⇒ Object 



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# File 'lib/associative_memory/network.rb', line 38

def converge_input(input)
	output_vector = Matrix.row_vector(input) * Matrix.rows(self.matrix)
	return output_vector.row(0).to_a
end

#converge_output(output) ⇒ Object 



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# File 'lib/associative_memory/network.rb', line 47

def converge_output(output)
	input_vector = Matrix.row_vector(output) * Matrix.rows(self.matrix).transpose
	return input_vector.row(0).to_a
end

#empty? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/associative_memory/network.rb', line 12

def empty?
	self.matrix.length == 0
end

#learn(input, output) ⇒ Object 



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# File 'lib/associative_memory/network.rb', line 20

def learn(input, output)
	input_buffer = []
	output_buffer = []
	input.each_with_index do |scalar, index|
		input_buffer[index] = 2 * scalar - 1
	end
	output.each_with_index do |scalar, index|
		output_buffer[index] = 2 * scalar - 1
	end
	input.each_with_index do |input_scalar, input_index|
		output.each_with_index do |output_scalar, output_index|
			self.matrix[input_index] ||= []
			self.matrix[input_index][output_index] ||= 0
			self.matrix[input_index][output_index] += input_buffer[input_index] * output_buffer[output_index]
		end
	end
end

#valid? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/associative_memory/network.rb', line 16

def valid?
	self.matrix.length > 0
end