We have developed a high-speed pattern recognition system using evolvable hardware (EHW). EHW is hardware that can change its own structure by genetic learning for maximum adaptation to the environment. The purpose of the system is to show that recognition devices based on EHW are possible and that
โฆ LIBER โฆ
Payphone coin validation using pattern recognition
โ Scribed by Flemming Barlach
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 477 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Pattern recognition system using evolvab
โ
Masaya Iwata; Isamu Kajitani; Masahiro Murakawa; Yuji Hirao; Hitoshi Iba; Tetsuy
๐
Article
๐
2000
๐
John Wiley and Sons
๐
English
โ 476 KB
Pattern recognition using artificial neu
โ
R.S.H. Mah; V. Chakravarthy
๐
Article
๐
1992
๐
Elsevier Science
๐
English
โ 655 KB
Adaptive pattern recognition using goal
โ
E.C.D.B.C. Filho; M.C. Fairhurst; D.L. Bisset
๐
Article
๐
1991
๐
Elsevier Science
๐
English
โ 535 KB
Pattern recognition using one-dimensiona
โ
L.U. Almi; J. Shamir
๐
Article
๐
1976
๐
Elsevier Science
๐
English
โ 294 KB
Respiratory waveform pattern recognition
โ
J.B. Korten; G.G. Haddad
๐
Article
๐
1989
๐
Elsevier Science
๐
English
โ 865 KB
An algorithm for detection of ventilatory events using digital signal processing techniques is described. Start and end of inspiration of each breath are detected using a combination of first derivative peak detection and second derivative analysis for edge detection. A convolution algorithm for com
5311131 Magnetic resonance imaging using
โ
Justin P Smith
๐
Article
๐
1995
๐
Elsevier Science
๐
English
โ 109 KB