International Journal of Advances in Applied Sciences
Vol 8, No 4: December 2019

Optimization of transmission signal by artificial intelligent

Hassan Farahan Rashag (Al- Furat Al-Awsat Technical University)
Mohammed H. Ali (Al- Furat Al-Awsat Technical University)



Article Info

Publish Date
01 Dec 2019

Abstract

In this method, radial basis function network RBFNN is an artificial intelligent which is used to identify and classify the communication system performance.  RBFNN is one type of neural network which has activation functions. It consists of three layer input layer, hidden layer and output linear combination. One of the main problems of communication system is that it causes slow response for sending signal via the transmission devices. Therefore, the artificial intelligent by RBFNN is used to optimize the transmission signal. The input signal is trained and testing by neurons with weight and this lead to provide linear output. The simulation results have the optimization specifics over the traditional communication transmission devices.

Copyrights © 2019






Journal Info

Abbrev

IJAAS

Publisher

Subject

Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

Description

International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and ...