Proposed a hybrid artificial neural networks and swarm intelligent for medical image recognition based on FPGA

Dissertant

Ibrahim, Muthanna Khallil

Thesis advisor

Akkar, Hanan Abd al-Rida

University

University of Technology

Faculty

-

Department

Department of Electrical Engineering

University Country

Iraq

Degree

Master

Degree Date

2011

English Abstract

-In this thesis, a medical image recognition using Artificial Neural Networks (ANN) trained by Particle Swarm Optimization based on hardware implementation of Field Programmable Gate Array (FPGA) is presented, where the adaption of the Artificial Neural Network (ANN) weights using Particle Swarm Optimization (PSO) was proposed as a mechanism to improve the performance of ANN.

Also in this thesis, Hardware Design of ANN platform (HDANN) is proposed to evolve the architecture ANN circuits using FPGA-spartan3 board (XSA- 3S1000).

The HDANN design platform creates ANN design files using WebPACKTM ISE10.1 program, which are converted into device-dependent programming files for eventual downloading into FPGA device by using GXSLOAD program from the XSTOOLS programs.

Main Subjects

Electronic engineering

Topics

• Digital electronics
• Neural networks(Computer science)

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-305122