sentences:  The weights of output neurons can be learned so that the network can produce or reproduce specific temporal patterns.The main interest of this network is that although its behaviour is non-linear, the only weights that are modified during training are for the synapses that connect the hidden neurons to output neurons.Thus, the error function is quadratic with respect to the parameter vector and can be differentiated easily to a linear system.