Tài liệu Computational Intelligence In Manufacturing Handbook P1 docx

... 463-482. Rzevski G., (1995), Artificial intelligence in engineering: past, present and future, Artificial Intelligence in Engineering X, Eds. Rzevski G., Adey R. A. and Tasso C., Computational Mechatronics, ... vector W i using the new V i according to Equation 1.13; activating the winning output neuron. 8. Going to step 2. The above training procedure ensures that if the same sequen...

Ngày tải lên: 25/01/2014, 13:20

... May, Gary S. " ;Computational Intelligence in Microelectronics Manufacturing& quot; Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et al Boca Raton: ... The Role of Computational Intelligence Recently, the use of computational intelligence in various manufacturing applications has dramatically increased, and semiconductor manufacturin...

Ngày tải lên: 13/12/2013, 01:16

... computing machines. Training a large network using a sequential machine can be time-consuming. Fortunately, training usually takes place off line, and the efficiency of training can be improved using ... applications for process monitoring and control. Wang, Jun et al "Applications in Intelligent Manufacturing: An Updated Survey" Computational Intelligence in Manufacturing...

Ngày tải lên: 25/01/2014, 13:20

... rule in the original data set. This index can be viewed as the probability of classifying an inconsistent training data set correctly. For each certain rule extracted from the certain training ... for Manufacturing Diagnosis" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et al Boca Raton: CRC Press LLC,2001 ©2001 CRC Press LLC The GA-based search e...

Ngày tải lên: 13/12/2013, 01:15

... moving-window sample method is chosen, except that ARL values of the designs using the moving-window sample method are in general smaller than those using the independent method, considering ... method. Applying the neural fuzzy method in SPC makes the pursuit of automation in quality engineering a possibility. More research in this direction is needed as manufacturing and service i...

Ngày tải lên: 13/12/2013, 01:15

... training process). TABLE 17.3 MLP Neural Network Training Scheme Training algorithm Backpropagation Starting learning rate ( η ) 0.1 Learning adaptation rate –10% (reduction) Minimum learning ... This involves dividing the data set into S mutually exclu- sive subsets, using S – 1 subsets for training the network (as discussed in Section 17.2.1.2) and the remaining subset for testing, ... Ch...

Ngày tải lên: 13/12/2013, 01:15

... Networks and Neural-Fuzzy Approaches in an In- Process Surface Roughness Recognition System for End Milling Operations" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et ... before or during machining. The primary objective was to train the fuzzy system by generating fuzzy rules from input–output pairs, and combining these generated and linguistic r...

Ngày tải lên: 13/12/2013, 01:15

... most manufacturing systems are fast converting to fully automated environments such as computer integrated manufacturing (CIM) and flexible manufacturing systems (FMS). However, many manufacturing ... spindle current. 2. Both spindle and feed current increase as the depth of cut increases. Moreover, feed current increases almost linearly as the depth of cut increases, while spindle cur...

Ngày tải lên: 13/12/2013, 01:15

... () max min– RF F F F FF z r z xy == + 22 Du, R. et al "Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Set Theory" Computational Intelligence in Manufacturing Handbook Edited ... Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Sets 14.3.1 Using Fuzzy Systems to Describe the State of a Manufacturing Process For monitoring and diagnosing m...

Ngày tải lên: 13/12/2013, 01:15

... The Role of Computational Intelligence Recently, the use of computational intelligence in various manufacturing applications has dramatically increased, and semiconductor manufacturing is no ... overall heading of reducing manufacturing cost, several important subtasks have been identified. These include increasing chip fabrication yield, reducing product cycle time, maintaini...

Ngày tải lên: 25/12/2013, 19:15