Neural based methods for music composition

Summary form only given, as follows. Several features found in neural networks make them desirable for music composition. These features include the ability to learn complex relationships from examples and to make reasonable generalizations in situations for which they have not been trained. Training consists of exposing the network to examples of music and adjusting its internal representation to match the input examples. It is this internalization of the music which represents many aspects and relationships that humans perceive both consciously and unconsciously. The method used to present the music to the network will therefore largely affect what features the network will extract. Several strategies involved in creating music using neural networks have been examined, and work involving multiple input training which mimics the functions of the right and left hemispheres of the brain has been carried out