Bilal Ahmed Zuhair, Student at the Department of Electrical Engineering,
get Master degree with very good grade for his thesis (gradient control
in the performance of the engines DC attribution to the matrix logic
gates of programmable using smart software method) on Monday 10/8/2015
on Dijla Hall.
The discussion committee consists of:
Dr. Abdul Raheem Deyab Hmood. (Head)
Dr. Raid Khalid Ibrahem (member).
Dr. Abbas Hussen Issa (member and supervisor).
The researcher monitors and evaluates the performance of the DC motor,
where a neural network designed for signal input processing "Electric
current and engine speed," derived from the sensors lead to the engine
efficiency " good , bad, accepted".
The researcher used two algorithms "reverse-proliferation" and
"Optimizing molecular crowd." The simulation results of the two networks
led to choose a neural network using algorithm reverse spread because of
its accuracy, the reverse spread number recurrence less (14) and a
maximum error is (14%) in relation to the particles swarm (620
recurrence and 33% maximum error). |