پایان نامه شبیه سازی و مدل نمودن شبکه های حسگر با شبکه های عصبی رقابتی

فهرست پایان نامه شبیه سازی و مدل نمودن شبکه های حسگر با شبکه های عصبی رقابتی

فهرست:

فصل 1-          مقدمه. 2

1-1-        مقدمه. 3

1-2-        سیستم‌های توزیع شده 4

1-3-        شبکه‌های حسگر. 5

1-4-        تعریف مسئله و اهداف تحقیق.. 7

1-5-        ساختار پایان‌نامه. 10

فصل 2-       مفاهیم پیش‌زمینه. 12

2-1-        مقدمه. 13

2-2-        تعریف سیستم‌های توزیعی.. 13

2-3-        اهداف... 15

2-3-1-           دسترس‌پذیر کردن منابع.. 15

2-3-2-           شفافیت توزیع.. 16

2-3-3-           باز بودن.. 17

2-3-4-           مقیاس‌پذیری.. 18

2-4-        انواع سیستم‌های توزیعی.. 19

2-4-1-           سیستم‌های محاسبات توزیعی.. 19

2-4-2-           سیستم‌های اطلاعات توزیعی.. 23

2-4-3-           سیستم‌های فراگیر توزیعی.. 30

2-5-        شبکه‌های حسگر. 37

2-5-1-           شبکه‌های حسگر بی‌سیم، جهان و ایران.. 37

2-5-2-           وضیعت شبکه حسگر بی‌سیم در جهان.. 38

2-5-3-           وضیعت شبکه حسگر بی‌سیم در ایران.. 40

2-6-        مفاهیم شبکه های عصبی.. 44

2-6-1-           مشخصات نرون.. 44

2-6-2-           مدل تک ورودی.. 44

2-6-3-           توابع محرک... 44

2-6-4-           مدل چند ورودی.. 46

2-6-5-           ساختار شبکه های عصبی.. 46

2-7-        آموزش و یادگیری شبکه‌های عصبی مصنوعی.. 48

2-7-1-           آموزش با نظارت... 49

2-7-2-           آموزش بدون نظارت... 49

2-7-3-           آموزش تقویت یافته. 50

2-7-4-           آموزش رقابتی.. 50

2-7-5-           برنامه و آموزش شبکه‌های عصبی مصنوعی به روش پس انتشار خطا 51

2-7-6-           قدرت تفکیک شبکه‌های عصبی مصنوعی.. 52

2-8-        شبکه‌های عصبی خودسازمان‌ده 52

2-9-        شبکه های خودسازمانده دارای وزن ثابت... 53

2-9-1-           شبکه ی ماکس نت... 53

2-9-2-           شبکه ی کلاه مکزیکی.. 54

2-9-3-           شبکه ی همینگ.... 57

فصل 3-       کارهای مرتبط... 60

3-1-        مقدمه. 61

3-2-        کارهای مرتبط... 61

فصل 4-       شبیه‌سازی و مدل نمودن شبکه‌های حسگر با شبکه‌های عصبی رقابتی.. 84

4-1-        مقدمه. 85

4-2-        انحصار متقابل.. 86

4-2-1-           الگوریتم متمرکز. 87

4-2-2-           الگوریتم نامتمرکز. 88

4-2-3-           الگوریتم توزیع شده 89

4-2-4-           الگوریتم حلقه‌نشانه. 92

4-3-        شباهت‌های شبکه‌عصبی و سیستم توزیع‌شده 93

4-3-1-           منابع.. 94

4-3-2-           شفافیت... 94

4-3-3-           عملیات یادگیری.. 95

4-3-4-           مدل مشتری - خدمت‌گذار 95

4-3-5-           پردازش موازی.. 95

4-3-6-           سخت‌افزار و نرم‌افزار 96

4-4-        مدل پیشنهادی.. 96

فصل 5-       ارزیابی.. 101

5-1-        ارزیابی مدل پیشنهادی.. 102

فصل 6-       نتیجه‌گیری و کارهای آینده 111

6-1-        نتیجه گیری و کارهای آینده 112

مراجع.................................................................................................................................................................115

 

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