Artificial Neural Networks Hardware Implementation

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

In the last decade the ANNs have shown massive computing capabilities. They are being used more and more in many fields because of their robustness and plasticity of architecture. To take full advantage of the ANNs, researchers have been working hard to find a better way to implement these networks in software or hardware. The ANN implementation has shown some difficulties. Thus a study to select the best implementation has been introduced. Each available hardware technology has its own advantages, and drawbacks. There have been many approaches to classify the neural hardware. In this thesis, it is listed some of the classification approaches used, and then the types of neural hardware used according to HEEMSKERK classification approach. To conclude some examples on neural hardware was given.

روابط وملفات

التعريف والنوع

رقم الوثيقة

017ed29d-42fa-426b-8810-95f9149cb260

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

ماستر (LMD)

نوع الملف

pdf text

أسماء الملفات

760824_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Chérif Larbes","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Khalid Saadi","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Artificial Neural Networks Hardware Implementation

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

.

إشراف وإعداد

الإشراف

Chérif Larbes

الإعداد

Khalid Saadi

الاقتباسات الببليوغرافية