chatterjee, siarry - computational intelligence in image processing
Computational intelligence in image processing
... Engineering,
Erciyes University, Kayseri 38039, Turkey
e-mail: ab@erciyes.edu.tr
A. Chatterjee and P. Siarry (eds.), Computational Intelligence in Image Processing, 3
DOI: 10.1007/97 8-3 -6 4 2-3 062 1-1 _1, ... applica-
tion: the original training image, the noisy training image and the noise-detection
image from left to right. The first two images, the original and the...
Computational Intelligence In Manufacturing Handbook P3
... Group
1-1
1-2
1-3
1-4
2-2
2-1
2-3
2-4
3-1
3-2
3-3
2-2
2-1
2-3
2-4
3-1 3-2
3-3
Persistent Physical Manufacturing Resources Community
Task-driven Machine
Groups Identified by
GT-based methods
q1
q2
q3
q4
p1
p2
p3
p4
p5
n1
n2
n3
n4
m1 ... The planning and scheduling domain plays an important role in integrating technologic...
Computational Intelligence In Manufacturing Handbook P5
... Fuzzy-Based Part Dispatching Rules in FMSs
This section explains a fuzzy real-time routing selection and an intelligent decision-making tool using
fuzzy expert systems for machine loading in an ... total processing time.
• Minimizing number of processing steps
Four different routing selection rules used herein are SNQ (or NINQ), STPT (shortest total processing
time), WINQ, and FUZZY...
Computational Intelligence In Manufacturing Handbook P4
... lower, input layer neurons interact with the routings input.
The number of neurons in the input layer equals the number of machine types. The steps involved in
Fuzzy ART are as follows:
Step 1. Initialization ... part–machine incidence matrix, assuming binary values, sequence information is
ignored. To include sequence information, a sequence-based incidence matrix is introduced, as shown...
Computational Intelligence In Manufacturing Handbook P7
... Feature-based modelling approaches for integrated manufacturing: state-
of-the-art survey and future research directions, International Journal of Computer Integrated Man-
ufacturing, 8(6):41 1-4 40.
Bahrami, ... for design retrieval in manufacturing
systems, Computers in Industry, 20(1):1 1-2 3.
For Further Information
A good introduction to engineering design is presented in Engin...
Computational Intelligence In Manufacturing Handbook P6
... design
objectives may include minimizing intercellular movements, minimizing set-up time, minimizing
machine load variation or maximizing machine utilization, and minimizing the system’s costs. ... machines, and information into some groups
or subsystems. Introduction of group technology into manufacturing has many advantages, including a
reduction in flow time, work -in- process, and set-up...
Computational Intelligence In Manufacturing Handbook P9
... OPT3 OPT4 OPT5 OPT2 OPT6
M-c M-c M-c M-c M-a M-b
M-a
M-e
M-a
M-e
M-a
M-b
M-a
M-d
M-b
M-d
M-e
Before machine mutation
Currently used
machines
Machine
alternatives
After machine mutation
©2001 CRC ... as the stopping
criterion.
FIGURE 9.6 An example of machine mutation with six OPTs.
OPT1 OPT3 OPT4 OPT5 OPT2 OPT6
M-a M-a M-a M-a M-a M-b
M-c
M-e
M-c
M-e
M-b
M-c
M-c
M-d
M-b
M-d
M-e
OPT1 OPT3 ......
Computational Intelligence In Manufacturing Handbook P8
... Mellon
University, CMU-RI-TR-9 6-2 7, December, 1996.
2. Y. -S. Lee and C. -J. Chiou, Unfolded projection approach to machining non-coaxial parts on mill-
turn machines, Computers in Industry, vol. 39, ... Values
Xover=10
Lee, Yuan-Shin et al "Soft Computing for Optimal Planning and Sequencing of Parallel Machining Operations"
Computational Intelligence in Manufacturing H...
Computational Intelligence In Manufacturing Handbook P12
... of improving the product quality, increasing the effect
events in production, increasing autonomity and intelligence in manufacturing lines, reducing the reac-
tion time of manufacturing systems, ... value
for training d
Input x
(b) Information-gain-weighted RBF as the sub-net
©2001 CRC Press LLC
to the results given in the reference, the total information gain of the index
x...
Computational Intelligence In Manufacturing Handbook P11
... observations.
Data splitting:
Requires splitting the available data into two sets: a training set and a testing set, where
the training set is used to train the network and the testing set is used ... 100 revolutions per minute.
7 Initial reading Initial viscosity (taken at 3 1/2 minutes).
8 Build up Change in viscosity from initial reading (taken after 18 minutes)
9 20 minute gelation...
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