PROTOTYPE OF ADAPTIVE CONTROL SYSTEM SOFTWARE USING PERCEPTRON LEARNING ALGORITHM

Authors

  • Masduki Zakaria FT UNY

DOI:

https://doi.org/10.21831/jps.v15i1.1733

Keywords:

Adaptive control system, Perceptron

Abstract

This aims of this research is to build and to make performance test a software prototpe of adaptive control system with perceptron learning algorithm.

Needs analysis is performed to find an adaptive control system specifications are required, the result is a blue print software, after a modification of the learning algorithms are tailored to the programming language, the result is a flow chart design. Software implementation is based on the flow chart that was created by using a developed by research and development approach.

The results showed that th group data in the analytical calculations with research data from a running program at every step in iteration, there was no sognificant difference between the description of data in two research groups.

ub> 0{� sb`�5P8 ( =vacancy), lost the interlayer water by being heated up to 200oC to produce a dehydrated phase, H0.54 Ti1.865 0.135O4. Above 300oC, the dehydrated phase completely transformed to TiO2(B) and anatase was obtained as pure phase at 600oC. The phase transformed as the following process: H0.54Ti1.865 0.135O4 0.5H2O í  H0.54Ti1.865 0.135O4 0.25H2Oí  H0.54Ti1.865 0.135O4 í  TiO2(B) í  TiO2-anatase.

 

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Published

2014-04-02

How to Cite

[1]
Zakaria, M. 2014. PROTOTYPE OF ADAPTIVE CONTROL SYSTEM SOFTWARE USING PERCEPTRON LEARNING ALGORITHM. Jurnal Penelitian Saintek. 15, 1 (Apr. 2014). DOI:https://doi.org/10.21831/jps.v15i1.1733.

Issue

Vol. 15 No. 1: April 2010

Section

Articles

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