Simple example of perceptron

perceptron_example.py

inputs = [0, 1, 0, 0]
weights = [0, 0, 0, 0]
desired_result = 1
learning_rate = 0.2
trials = 6

def evaluate_neural_network(input_array, weight_array):
	result = 0
	for i in range(len(input_array)):
		layer_value = input_array[i] * weight_array[i]
		result += layer_value
	print("evaluate_neural_network: " + str(result))
	print("weights: " + str(weights))
	return result
	
def evaluate_error(desired, actual):
	error = desired - actual
	print("evaluate_error: " + str(error))
	return error
	
def learn(input_array, weight_array):
	print("learning...")
	for i in range(len(input_array)):
		if input_array[i] > 0:
			weight_array[i] += learning_rate
			
def train(trials):
	for i in range(trials):
		neural_net_result = evaluate_neural_network(inputs, weights)
		learn(inputs, weights)
	
		
train(trials)