A Reinforcement Learning Model Using Neural Networks for Music Sight Reading Learning Problem
Machine Learning
2011-11-21 v3 Neural and Evolutionary Computing
Abstract
Music Sight Reading is a complex process in which when it is occurred in the brain some learning attributes would be emerged. Besides giving a model based on actor-critic method in the Reinforcement Learning, the agent is considered to have a neural network structure. We studied on where the sight reading process is happened and also a serious problem which is how the synaptic weights would be adjusted through the learning process. The model we offer here is a computational model on which an updated weights equation to fix the weights is accompanied too.
Cite
@article{arxiv.1007.0548,
title = {A Reinforcement Learning Model Using Neural Networks for Music Sight Reading Learning Problem},
author = {Keyvan Yahya and Pouyan Rafiei Fard},
journal= {arXiv preprint arXiv:1007.0548},
year = {2011}
}
Comments
This paper is withdrawn because of its lack of novelty