Neyron tarmoq asosida obyektlarni tanib olish

Tajriba orttirish uchun misol va topshiriqlar.
1- topshiriq. Nazariy qismni o`zlashtirish va B/B/B jadvalini to`ldirish.
B/B/B texnikasini qo`llash bo`yicha ko`rsatma.
1. Ma’ruza rejasiga mos holda 2-ustunni to`ldiring.
2. O`ylang, juftlikda hal eting va javob bering, ushbu savollar bo`yicha nimani bilasiz, 3-ustunni to`ldiring.
3. O`ylang, juftlikda hal eting va javob bering, ushbu savollar bo`yicha nimani bilish kerak, 4-ustunni to`ldiring.
4. Ma’ruzani o`qing va materiallar bilan tanishing.
5. 5-ustunni to`ldiring.
B/B/B jadvali (Bilaman/Bilishni hoxlayman/Bilib oldim)

№	Mavzu savoli	Bilaman	Bilishni hoxlayman	Bilib oldim
1.
2.
3.
4.
5.

2-topshiriq. “Bilib oldim” ustuni asosida “T” jadvalini to`ldirish. Nazariy qismdan tayanch iboralarni aniqlash va “T” jadvalini qurish.

Tayanch ibora	Mazmuni
1.
2.
...
n.

15-ma’ruzalar uchun adabiyotlar

1. 
   Горбань А.Н. Обучение нейронных сетей. М.: изд-во СССР-США СП “ParaGraph”, 1990. 160 с.
   

2. Розенблатт, Ф. Принципы нейродинамики: Перцептроны и теория механизмов мозга = Principlesof Neurodynamic: Perceptron sand the Theory of Brain Mechanisms. -М.: Мир, 1965. -480 с.
3. 13. Горбань А.Н., Россиев Д.А. Нейронные сети на персональном компьютере. Новосибирск: Наука, 1996. 276 с.
4. 21. И.А.Бессмертный. Искусственный интеллект - СПб: СПбГУ ИТМО, 2010. -132 с.

1. 
   5. 22. Sankar K. Pal, Sushmita Mitra, Multilayer Perceptron, Fuzzy Sets, and Classification //IEEE Transactions on Neural Networks, Vol.3, N5,1992, pp. 683-696.
   
2. 
   6. 23. Bernard Widrow, Michael A. Lehr, 30 Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation //Artificial Neural Networks: Concepts and Theory, IEEE Computer Society Press, 1992, pp.327-354.
   
3. 
   7. 24. Paul J. Werbos, Backpropagation Through Time: What It Does and How to Do It //Artificial Neural Networks: Concepts and Theory, IEEE Computer Society Press, 1992, pp.309-319.