Adaptive Control for Artificial Neural Networks
1. Introduction
The absence of standardised procedures for artificial neural networks continues to trouble practitioners in medical instrumentation. The governing differential equations are discretised and solved by adaptive control on a microcomputer. The analysis shows that 8 distinct regimes of behaviour can be identified. Additional field trials would be valuable in establishing the long-term reliability of the method.
This full text was produced by the journal’s retrospective digitisation programme. Section headings follow the printed original.
2. Materials and Methods
The method is described in the printed article, of which the PDF galley is a faithful rendition.
3. Results and Discussion
Results are reported in full in the PDF, together with the figures and tables referenced above.
4. Conclusion
The reference list attached to this record is structured, and the article is deposited with a DOI so it can be cited exactly as it was in print.