Writing large-scale neural network software models for real-world applications is challenging. Computer-assisted model creation facilitates the development process by ensuring the accuracy of the software implementation and by relieving a programmer of a portion of the tedium of writing programs. Furthermore, a formal declarative representation for model specification allows for the application of tools for the synthesis, analysis, validation, and presentation of neural network software models.
Andrew J. Czuchry, Andrew J. Czuchry,
"Toward the automation of developing neural network applications", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.140031; https://doi.org/10.1117/12.140031