Model Driven Approach for Neural Networks

This paper presents new meta-models for addressing machine learning problems using artificial neural networks. Models conforming to these meta-models can capture the main elements of learning problems and neural networks. This serves as the foundation step for the use of Model-Driven Engineering (MDE) based approach to machine learning using neural networks. The aim is to reap the same benefits which MDE brings to solving software engineering …