Jurnal Penelitian Saintek
Vol 15, No 1: April 2010

PROTOTYPE OF ADAPTIVE CONTROL SYSTEM SOFTWARE USING PERCEPTRON LEARNING ALGORITHM

Masduki Zakaria (FT UNY)



Article Info

Publish Date
02 Apr 2014

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 à H0.54Ti1.865 0.135O4 0.25H2Oà H0.54Ti1.865 0.135O4 à TiO2(B) à TiO2-anatase. 

Copyrights © 2010