• Your shopping cart is empty!

  • SME MS95-152
Provide PDF Format

Learn More

SME MS95-152

  • On-Line System Identification And Control Of A Thick Film Printing Process Using Neural Network
  • standard by Society of Manufacturing Engineers, 06/01/1995
  • Publisher: SME

$9.00$18.00


A NEURAL NETWORK BASED SYSTEM IDENTIFICATION METHOD IS PROPOSED FOR ON-LINE CONTROL OF THICK FILM PRINTING PROCESS. PASSIVE COMPONENTS SUCH AS RESISTORS AND CAPACITORS ARE PRINTED AND FIRED ON CERAMIC SUBSTRATES OF THICKNESS RANGING FROM 10 TO 20 MICRONS FOR NETWORK APPLICATIONS. PARAMETER IDENTIFICATION AND MODELING OF THICK FILM PRINTING PROCESS USING TIME SERIES DATA AND NEURAL NETWORKS ARE DISCUSSED.

Product Details

Published:
06/01/1995
Number of Pages:
7
File Size:
1 file , 680 KB

Related Products

SME MS900446

SME MS900446

Bearing Design Variables And Their Effects On Speedability..

$9.00 $18.00

SME FC98-268

SME FC98-268

Towards The Development Of More Effective Surface Inspection Methods..

$9.00 $18.00

SME MR930323

SME MR930323

Electrochemical Deburring-- Its Application In Industry Today..

$9.00 $18.00

SME MS98-257

SME MS98-257

Environmental Conscious Design Support Model Using Fuzzy Analytic Hierarchy Process..

$9.00 $18.00