A bias neuron is a neuron whose output value is usually 1 or which is represented by It is accustomed to signify neuron biases as connectivity weights, which enables any weight training algorithm to train the biases at the same time. Then the threshold benefit of the neurons j1, j2... jnis set to 0.The guideline values are used as interconnection weights and can perfectly be trained together with the connection weights, which significantly facilitates the learning process