ProceedingsIEEE, 1997 - Artificial intelligence |
From inside the book
Results 1-3 of 72
Page 323
... input places and output places equally , i.e. , when it is fired , it takes an appropriate number of tokens from each input place and puts an appropriate number of tokens into each output place according to the weights associated with ...
... input places and output places equally , i.e. , when it is fired , it takes an appropriate number of tokens from each input place and puts an appropriate number of tokens into each output place according to the weights associated with ...
Page 404
belonging to the j - th input variable , while m is the number of input variables . A new analytic function that determines the positions of centres of output fuzzy sets ycj , instead of conventional definition of fuzzy logic rule base ...
belonging to the j - th input variable , while m is the number of input variables . A new analytic function that determines the positions of centres of output fuzzy sets ycj , instead of conventional definition of fuzzy logic rule base ...
Page 405
... input variable , j = 1 , ... , m , of the system . " Satisfaction of the first principle . The third and finale step of the creation of the new fuzzification interface process , is the satisfaction of the first principle . For this ...
... input variable , j = 1 , ... , m , of the system . " Satisfaction of the first principle . The third and finale step of the creation of the new fuzzification interface process , is the satisfaction of the first principle . For this ...
Contents
Innovations in Design and Integrated | 1 |
Creative and Innovative Manufacturing | 4 |
Y Fan and C Wu Tsinghua Univ | 7 |
Copyright | |
43 other sections not shown
Other editions - View all
Common terms and phrases
according activities algorithm allows analysis application approach architecture assembly ATRT Automation called communication complete components considered constraints control system cost customers decision defined described determined dispatching distributed dynamic effective Engineering enterprise environment error estimated example exists Figure fixture flexible flow function given implementation important improvement industrial input integration interaction interface INTRODUCTION knowledge lead learning load locating machine manuals manufacturing means measurements method nets object obtained operation optimal output parameters performance Petri planning plant position possible presented problem proposed prototype real-time reference represents requirements robot rules scheduling selected sequence server shown shows simulation solution specific standard station structure task token tool transition unit University virtual