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العنوان
Construction A Multi-Agent system using Neural Network For Image Analysis
الناشر
Mohamed EL-menshawy Soliman
المؤلف
Mohamed EL-menshawy Soliman
هيئة الاعداد
باحث / Mohamed ECMenshawy Soliman Mohamed
مشرف / Ismail Amr Ismail
مناقش / Abd ElMonem Wahdan
مناقش / Mostafa Mahamoud Syiam
الموضوع
Neural Networks
تاريخ النشر
2005 .
عدد الصفحات
168 ص:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
علوم الحاسب الآلي
تاريخ الإجازة
1/1/2005
مكان الإجازة
جامعة المنوفية - كلية الحاسبات والمعلومات - رياضة بحته
الفهرس
Only 14 pages are availabe for public view

from 190

from 190

Abstract

The interface agent is a computer program that employs machine-learning techmiqus to assist a user in dealing with a particular application by using a computer, learning new ”short cut” methods and suggesting a better ways for doing the user tasks End-user programming and / or knowledge engineering for knowledge acquisition are used to learn interface agent but these learning systems require a large amount of work from the knowledge engineer. Furthermore, rhe knowledge of the agent id fixed and cannot be customized to the habits of individual users.
This work predents a framework of multi-agent system, which consiste adaptive interface agent, feature extraction and set of agents trained by using neural network that collaborates with adaptive interface agent to detect the femur fractured in x-ray images automatically? Then, the proposed system deceases the workload of radiologist and improves the accuracy of diagnose their.