## Proceedings, Volumes 1-2IEEE, 1999 - Artificial intelligence |

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Page 284

If a

and m [ 82 ) , 1 . 81 U82 = 8 and 81 , 82 are disjoint , i . e . si n82 = 0 , 2 . none of

them have signal - arcs to transitions belonging to the other

If a

**step**s can be divided into two**steps**81 , 82 , such that 0 . m ( s ) m ' , m [ 81 ) ,and m [ 82 ) , 1 . 81 U82 = 8 and 81 , 82 are disjoint , i . e . si n82 = 0 , 2 . none of

them have signal - arcs to transitions belonging to the other

**step**, i . e . 815 n 82 ...Page 332

The complexity of the above algorithm is olyano ) because

111 ) operations and

of finding xeX with minimal value of the function Q ( x ) under constraints : can be

...

The complexity of the above algorithm is olyano ) because

**step**i ) requires O (111 ) operations and

**step**ii ) Then the initial problem is equivalent to the problemof finding xeX with minimal value of the function Q ( x ) under constraints : can be

...

Page 468

In a batch mode operation , FCM determines the cluster centres , Ci , and the

membership matrix U using the following

7 )

1 ...

In a batch mode operation , FCM determines the cluster centres , Ci , and the

membership matrix U using the following

**steps**( 3 ) : Šu ; = 1 , Vj = 1 , . . . , n i = 1 (7 )

**Step**1 : Initialise the membership matrix U with random values between 0 and1 ...

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### Contents

Java RealTime Distributed Processing Over ATM Networks with ChorusOS | 3 |

Optimizing Costs and Processing Times Under Variable External Processing | 4 |

Resources 1047 | 8 |

Copyright | |

59 other sections not shown

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### Common terms and phrases

action activity adaptive agent algorithm allows analysis application approach architecture Automation behavior block communication complex components configuration connection considered consists corresponding cost decision defined depends described detected determine developed devices distributed dynamic Engineering environment error example execution Figure final flow function given implementation important improve industrial initial input integrated interface International Java learning machine manufacturing means measurement method module monitoring necessary object obstacle obtained operations optimal output parameters performance planning plant position possible presented problem proposed reference represented robot rules scheduling selected sensor sequence server shown shows signal simulation solution specific step structure Table task techniques tool transition unit variables visual