Adaptive Control for Artificial Neural Networks

Mohammad Islam, Nasrin Diallo, Kwame Chatterjee

Open Access Journal of Engineering Applications · doi:10.55555/oajea.1987.1102.048

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.

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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

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