Additional Practice will be given on 22 December (Monday) 16:20-19:10 at 411. ====================================================================================================================== [A] AS33-1 Sep Oct Nov Dec total Friday 16:20-19:10 05 19 03 17 31 14 28 12 (5or13)(19)(20)(22) -------------------------------------------------------------------------------------------------------------- Bazulyk Igor 4 4.9 - 2.5 4 2.5 3.5 3.5 4.9 4 33.8/8=4.45 => OK Vakulsky Dmitry 3 4.9 2.5 4.5 5 2 3.5 3.5 4.5 33.4/8=4.17 => OK Vasilev Andrei 3 4.9 3 4.5 5 2.5 3.5 3 3.1 32.5/8=4.06 => OK Denisenko Dmitry 3 5.1 2.5 *4.5 5 2.5 3.4 3.5 3 32.5/8=4.06 => OK Zaharow Alexander 3 2.5 2.5 4.6 5 1 1 1 1 2.9 4 4 32.5/8=4.06 => OK Zaharow Alexey 3 5 3.5 4.5 5 2.5 3.5 5 4.5 36.5/8=4.56 => OK Melnikow Roman 3 2.5 *4 5 5 5.1 5.1 3.5 33.2/8=4.15 => OK Yanchuk Alexander 3 5 3.5 4.5 5 2.5 3.5 3.5 4.1 34.6/8=4.32 => OK ------------------------------------------------------------------------------------------------------ 3) 10 rules, (fixed speed like 12) + (21 distances 0,50,100,150,...,950,1000) => each combination like (12, 250) calculate center of gravity of 10 brakes => plot 21 points with x-axis being distance & y-axis being brake 4) Classify iris data using rules created by instinct 5) Visualize iris-database, then classify by TS-fuzzy 6) Classify iris with TS-fuzzy using Gaussian membership function 7) Apply max-min to a simlarity relation of 15-15 matrix => repeat untill no change 8) classify a 15 data using fuzzy-relation with max-prod, max-avg, max-delta instead of max-min ----- * 12/05 ======================================================================================================= [B] AS33-2 Sep Oct Nov Dec total Friday 16:20-19:10 12 26 10 24 07 21 05 19 (20)(22) -------------------------------------------------------------------------------------------------------- Lishko Yulia 5 5.1 2.5 I H 5.1 5 4 26.7/6=4.45 => OK Petrova Victoria 5 4 2.5 O 5 4.9 5 26.4/6=4.40 => OK Lukashik Pavel 3 4 2.5 will L 2.5 2.5 3.3 4 25.8/6=4.30 => OK Polikarpuk Boris 2.9 3 2.5 Y 2.5 2.5 3.3 4 24.7/6=4.11 => OK Lysenko Boris 5 3 2.5 be D 5 4.9 4.5 24.9/6=4.15 => OK Shuvaev Ruslan 4.9 4 2.5 A 5 4 3.1 4 27.5/6=4.58 => OK Luk Sergei 4.9 5 #- in Y 2.5 2.5 3.3 4.5 27.2/6=4.53 => OK Tsikota Vlad 4.9 5 - 2.5 2.5 3.1 4 4.1 26.1/6=4.33 => OK Kovalyk Dima 4.9 3 2.5 a 2.5 2.5 3.5 4 4.1 27.0/6=> Alexeenko Pavel 5.1 5 2.5 5.1 4.5 4 26.2/6=4.36 => OK Kanashuk Anton 5 4 5 conf 5 4 3.1 26.1/6=4.35 => OK ------------------------------------------------------------------------------------------------------ 2) 10 rules, (fixed speed like 12) + (21 distances 0,50,100,150,...,950,1000) => each combination like (12, 250) calculate center of gravity of 10 brakes => plot 21 points with x-axis being distance & y-axis being brake Repeat the above for another fixed speed like 18 show two graph of distance vs brake for different two values of speed 3) Each of the 100 points speed = 2,4,6,8,...,20 & distance = 100,200,300,...,1000 defuzzify brake and plot them to creat 3-D surface 4) TS-model for iris dataset with Gaussian membership function given. 5) Cluster Russian 33 alphabets using the argorithm given in the lecture. 6) Cluster Japanese 9 alphabets using the argorithm given in the lecture with max-min, max-prod and max-avg each. ----- # => Disappear all the way without any permission ==================================================================================================================== [A] AS32-1 Sep Oct Nov Dec total Saturday 14:50-17:40 06 20 04 18 01 15 29 13 (19)(20)(22) --------------------------------------------------------------------------------------------------------------------- Boiko Evgenii 3 5 3.5 *3.5 #2 3.1 2 4.5 4 3.5 34.1/8=4.50 => OK Gorovoi Andrei 4.5 5.1 2.5 4.5 5 3 3.4 3 3.4 34.4/8=4.30 => OK Doropievich Andrei 3 5 2.5 4.5 5 2.5 2 4.4 3.5 32.4/8=4.05 => OK Ivanukovich Nadejda 3 5 4.5 4.5 5.1 3.5 3.6 4.6 33.8/8=4.22 => OK Klubovich Nikolay 5 4.5 2.5 4.5 5 3.5 *5.1 3 33.1/8=4.13 => OK Lajuev Eldar 3 5 3.5 4.5 5 3 3.5 3.1 3.3 33.9/8=4.23 => OK Trofimuk Anton 4 5 3.5 4.5 5 3.1 3.5 4.5 33.1/8=4.13 => OK --------------------------------------------------------------------------------------------------------------------- 3) Obtain one point in speed-distance-break 3D space with fixed speed, distance and break being 0,1,2,...,9 under one rule. 4) create 3 rules to classify iris-flowers by GA with chromosome being (a1 b1 a2 b2 a3 b3 a4 b4) & fitness being success rate 6) TS-fuzzu for iris designed by intuition (due to no LAN & server down) 7) TS-fuzzy for wbc with given 18 gaussian membership and 20 parameters for consequence 8) Cluster Japanese 9 alphabets using the argorithm given in the lecture with max-min, max-prod and max-avg each. ----- * 12/06; # 12/12 ===================================================================================================================== [A] AS32-2 Sep Oct Nov Dec total Saturday 14:50-17:40 13 27 11 25 08 22 06 (13)(19) 20 (22) --------------------------------------------------------------------------------------------------------------------- Lyubchuk Artem 5.1 5.1 5.1 I 3 3.5 5 4 30.8/7=4.40 => OK Merkis Dmitry 5.1 5 *4.5 - 5.1 3 4 5 31.7/7=4.52 => OK Mihalevich Evgeny 3.9 3.9 4.5 will 2 5 5 4 28.3/7=4.04 => OK Sinchenko Ilya 3.9 3.9 4.5 3 5 5 4 29.3/7=4.18 => OK Predko Alexandra 4.9 5 4.8 be 4.9 5.1 5 5 34.7/7=4.95 => OK Tarasevich Vladislav 3 @2.5 2.5 - 2.5 - 1 2 2.5 16.0/7=2.28 => XX Polushkina Natasha 1.5 4.8 4.9 in 2 5 5 4 o 27.2/7=3.88 Sapon Roman 1.5 5.1 4.8 2 5 5.1 4.5 28.0/7=4.00 => OK Semin Vladimir 2.4 5.1 4.9 a 2 4 5.1 4.5 28.0/7=4.00 => OK Gatskevich Viktoria 2.4 4.8 4.9 2 4.9 5 4 28.0/7=4.00 => OK Markuzov Egor 2 4.3 4.8 conf 5 5 5 5 31.1/7=4.44 => OK Ganchuk Ksenia 2 4.5 4.8 5 5.1 5.1 5 31.5/7=4.50 => OK --------------------------------------------------------------------------------------------------------------------- 3) Obtain 100 points in speed-distance-break 3D space with speed being 2,4,6,...,20 and distance being 100, 200,300,...,1000 4) Apply TS-fuzzy formula to iris data using given 3 rules a nd 12 triangle membership functions 5) The same as above but Gaussian membership and linear combination consequence 6) cluster Russian 33 alphabet using the argorithm given in the lecture. 7) Cluster Japanese 9 alphabets using the argorithm given in the lecture with max-min, max-prod and max-avg each. --- *=>10/18; @=>11/29 ===================================================================================================================== (1) create a loop-line with 1000 pixels on which two trains move with an initial speed of 10 pixels/step starting at pixel No. 1 and No. 501 with speed randomly changing +1, 0 or -1 at every step. (2) (i) Create one rule IF v=VVV AND a=AAA THEN x=XXX. (ii) Design membersip function of VVV, AAA and XXX with graphic. (iii) Design a black-box when input is 10 members ihp value of brake, return its defuzzified value of brake (center of gravity of break from 0 to 9) In case the final surface on speed-distance-brake 3D space is not so smooth, 10 rules are not very good (Like a trolley-bus here sometimes) ===================================================================================================================== send at least 3 examples of graphics with 10 brake values showing the center of gravity next time you show me the system that returns brake value when 10 membership values of brake are given from keyboardi