Document information
- University
- Politecnico di Milano
- Degree programme
- Computer Engineering
- Subject
- Soft Computing
- Academic year
- 2011-2012
- Classification
- Exam · Full exam
- Content
- Exam paper only
- Original format
- Text
- Searchable text
Full exam for Soft Computing in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Soft Computing - October, 3 2012 • Use only the sheets provided to you, and in the two parts on separate sheets • Write clearly on the top left hand corner (like in the figure) surname, name, then, on the next line, enrollment number, date, then, on the next line, part of the
Full exam for Soft Computing in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Soft Computing - October, 3 2012 • Use only the sheets provided to you, and in the two parts on separate sheets • Write clearly on the top left hand corner (like in the figure) surname, name, then, on the next line, enrollment number, date, then, on the next line, part of the
Import quality: text was extracted directly from the original document.
Representative passages recognised in different parts of the material. The full extracted text remains available to search, while this compact preview makes the page easier to read.
Soft Computing - October, 3 2012 • Use only the sheets provided to you, and in the two parts on separate sheets • Write clearly on the top left hand corner (like in the figure) surname, name, then, on the next line, enrollment number, date, then, on the next line, part of the exam (Part 1 or Part 2) and signature • Write CLEARLY by pen or pencil • Exam sheets not satisfying these simple rules, will result in exam penalization Cognome Nome Matricola Data Parte X Firma Esercizio n° Y feouf h rg oquyrbgrtpguh qreugh reugvr porihvd 0u8rh 3498uhg vrqe0uagh iuigfer iughpiufhvef fieuwh p3ruhfpew9ughvf piwe iuehf p iugh p iruwhg pr iughrw pghv ri3 rfbhv0r ewuhgf r3p3itugh p3ure ....... Esercizio n° Z feouf h rg oquyrbgrtpguh qreugh reugvr porihvd 0u8rh 3498uhg vrqe0uagh iuigfer iughpiufhvef fieuwh p3ruhfpew9ughvf piwe iuehf p iugh p iruwhg pr iughrw pghv ri3 rfbhv0r ewuhgf r3p3itugh p3ure ....... ... Part 1 ........................................................................................ 1.1. Fuzzy Systems [3/32]............................................ Describe at least two different types of T-norms and T-conorms explain what they are used for, and motivate their selection in fuzzy inferential systems 1.2. Reinforcement learning systems [7/32]........................................... Define a reinforcement learning system to make a robot pigeon learning to reach food in an environment where food is suspended in a position higher than the robot, and there is a movable, red cube. Please, define states, actions and reinforcement for this system, and select a reinforcement distribution algorithm. Justify all choices. 1.3. Genetic algorithms [Score 6/32]............................................ We are interested to identify the best set of gifts to buy for our 10…
First page of the document.