Training Java Manhattan Update Rule

The Manhattan update rule works similarly to Backpropagation, except a single update delta is provided. It is a supervised learning method. This update value must be chosen correctly for the neural network to properly train. The Manhattan update rule can be used with feedforward and simple recurrent neural networks. For most cases where the Manhattan update rule could be applied, Resilient propagation is a better choice.