RNA Perceptron and Adaline

Neural Network Artificial Intelligence

Implementation of artificial neural network Perceptron and Adaline with two input and logic output. This RNA can simulate logical operations of OR and AND

Use

Training (OR)

# Dataset 
# 00 -> 0
# 01 -> 1
# 10 -> 1
# 11 -> 1
dataset       = []
dataset[0]    = []
dataset[0][0] = 0; # input 1
dataset[0][1] = 0; # input 2
dataset[0][2] = 0; # output
dataset[1]    = []
dataset[1][0] = 0; # input 1
dataset[1][1] = 1; # input 2
dataset[1][2] = 1; # output
dataset[2]    = []
dataset[2][0] = 1; # input 1
dataset[2][1] = 0; # input 2
dataset[2][2] = 1; # output
dataset[3]    = []
dataset[3][0] = 1; # input 1
dataset[3][1] = 1; # input 2
dataset[3][2] = 1; # output


# Initialize Synaptic weights and training
p = Adaline.new([0.3192, 0.3129, -0.8649])
p.set_training_dataset(dataset)
p.training()

Classify

# Execute teste
puts "00 -> #{p.execute(0,0)}"
puts "01 -> #{p.execute(0,1)}"
puts "10 -> #{p.execute(1,0)}"
puts "11 -> #{p.execute(1,1)}"

puts "#{p.count} #{p.w}"