Scientific Information BulletinDepartment of the Navy, Office of the Chief of Naval Research, Far East, 1991 |
No grāmatas satura
1.–5. rezultāts no 81.
. lappuse
... Optical computing Neural network 18. SECURITY CLASSIFICATION OF THIS PAGE Unclassified i Flexible automation Fuzzy logic Dataflow 19. SECURITY CLASSIFICATION OF ABSTRACT Unclassified 15. NUMBER OF PAGES 133 16. PRICE CODE 20. LIMITATION ...
... Optical computing Neural network 18. SECURITY CLASSIFICATION OF THIS PAGE Unclassified i Flexible automation Fuzzy logic Dataflow 19. SECURITY CLASSIFICATION OF ABSTRACT Unclassified 15. NUMBER OF PAGES 133 16. PRICE CODE 20. LIMITATION ...
. lappuse
... Optical Computing in Japan David K. Kahaner and H.J. Caulfield Page 1 7 21 27 17 37 Optical computing activities in Japan are surveyed . Fuzzy Logic 41 David K. Kahaner , Walter J. Freeman , and Armando Freitas da Rocha Recent ...
... Optical Computing in Japan David K. Kahaner and H.J. Caulfield Page 1 7 21 27 17 37 Optical computing activities in Japan are surveyed . Fuzzy Logic 41 David K. Kahaner , Walter J. Freeman , and Armando Freitas da Rocha Recent ...
31. lappuse
... optical fibers , and applications as key , as well as materials such as gallium arsenide , synthetic single crys- tal diamonds , and ceramics . They are also anticipating growth in various electronic and communications systems , traffic ...
... optical fibers , and applications as key , as well as materials such as gallium arsenide , synthetic single crys- tal diamonds , and ceramics . They are also anticipating growth in various electronic and communications systems , traffic ...
34. lappuse
... and Manipulators with Compliance • Quality Issues and Flexible Auto- mation • Automatic Inspection • Distributed Parallel Robot Systems • FMS Planning INTRODUCTION In recent years , the field of optical computing 34 SIB 16 ( 1 ) 91.
... and Manipulators with Compliance • Quality Issues and Flexible Auto- mation • Automatic Inspection • Distributed Parallel Robot Systems • FMS Planning INTRODUCTION In recent years , the field of optical computing 34 SIB 16 ( 1 ) 91.
35. lappuse
... OPTICAL COMPUTING IN JAPAN Optical computing activities in Japan are 35 SIB 16 ( 1 ) 91.
... OPTICAL COMPUTING IN JAPAN Optical computing activities in Japan are 35 SIB 16 ( 1 ) 91.
Bieži izmantoti vārdi un frāzes
activities algorithms applications architecture Australia basic Center ceramic chip Chiyoda circuit companies Computer Science databases dataflow DEQSOL described devices discussed diving Electric electronic Engineering environment Fortran Fujitsu function fuzzy logic fuzzy set fuzzy theory hardware Hitachi ICOT industry integrated interest interface International Japan Japanese Kahaner machine magnetic manufacturing marine materials Mathematics mechanical memory ment methods MITI Mitsubishi National Naval Research neural networks NIPT nology Ocean Oceanography Office Omron operating optical computing organization Osaka papers parallel computers performance polymers POSTECH problems processors Prof puter reported Research Institute Research Laboratory robot saturation diving Science and Technology scientists sensors simulation Singapore structure supercomputer superconducting surface Symposium tech techniques temperature tion Tokyo TRON TRON project United Univ University University of Tokyo Unix vector welding workstations
Populāri fragmenti
13. lappuse - Such identification does not imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the materials or equipment identified are necessarily the best available for the purpose.
46. lappuse - Information Systems Engineering Faculty of Engineering, Osaka University 2-1, Yamadaoka, Suita, Osaka 565, JAPAN phone: +81-6-879-7822; fax: +81-6-879-7827; e-mail: {wang,yumoto,ohkawa,komoda}@ise.
92. lappuse - Japan and is under direct control of the Agency of Industrial Science and Technology of the Ministry of International Trade and Industry.
25. lappuse - LW Nagel. SPICE2, A Computer Program to Simulate Semiconductor Circuits.
65. lappuse - A fuzzy set is a set whose boundary is not sharp. That is, the change from nonmembership to membership in a fuzzy set is gradual rather than abrupt. This gradual change is expressed by a membership grade function...
65. lappuse - UA(X) expresses the grade of membership of element x of X in the fuzzy set A or, in other words, the degree of compatibility of x with the concept represented by the fuzzy set. A fuzzy set A is called normalized when ma\,,fXuA(x) = 1.
98. lappuse - He is currently an Assistant Professor of Electrical Engineering at the University of Minnesota, Minneapolis.
74. lappuse - During the academic years 1975-76 and 1982-83, he was a Fellow at the Netherlands Institute for Advanced Studies in Wassenaar. Holland, and in 1980 he was a fellow of the Japan Society for the Promotion of Science. Dr. Klir's main research activities have been in general systems methodology, logic design and computer architecture, switching and automata theory, information theory, and the philosophy of science.