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1. Most of them have to do with pattern recognition.

2. Pattern Recognition Many different types of networks are under consideration for various research and application projects.

3. Taken to its natural conclusion, the stages of pattern recognition and lexical checking could become interactive processes.

4. The world of neural networks and pattern recognition is likely to act as a major guide.

5. In other words information is collected at the pattern recognition stage, and all further levels select from this.

6. It is well suited to speech and pattern recognition applications, and makes neural networks an add-on technology to existing processing.

7. As the character candidates are received from the pattern recognition process the combinations of characters are checked for validity in the lexicon.

8. The pattern recognition technique enables the computer to cope with a certain amount of operator error, minor misspellings make no difference.

9. Intelligent processes, such as: pattern recognition, image reconstruction, learning, reasoning by deduction, expert problem solving.

10. Simply improving the performance of the pattern recognition module will not produce a recognition performance comparable to that of a human.

11. Most existing recognition systems concentrate on the pattern recognition process, and have not utilised the substantial amounts of available context.

12. Match-Finder is a new software package for chromatographic pattern recognition, or fingerprinting, from Perkins Elmer.

13. The strategy uses complex pattern recognition.

14. Syntax analysis plays an important role in pattern recognition.

14. Sentencedict.com is a online sentence dictionary, on which you can find nice sentences for a large number of words.

15. Fingerprint Pattern Recognition Using Distance Method Algorithm.

16. Clastic facies pattern recognition is somewhat systematic.

17. On – Line Pattern Recognition System?

18. Handwritten numeral recognition belongs to the field of pattern recognition, which is a hot field for a large number of researchers and also is a critical step in entry of information.

19. Multivariate analysis has many uses in pattern recognition . Take the face recognition as example.

20. The digital image processing and pattern recognition technology are feasible to overcome the coke monitor problem.

21. The fuzzy pattern recognition technique is then applied to classifying TIG weld quality.

22. Kunihiko Fukushima developed the Neocognitron, a neural net-work model for visual pattern recognition.

23. The statistical approach reduces the problem facing the syntax analyser from a logic-based task to one of pattern recognition. 2.2.4.1.

24. Firstly there is the whole word approach, whereby shape and pattern recognition procedures attempt to match directly with complete words.

25. The following discussion investigates improvements which could be made to augment the pattern recognition information.

26. The two are aiming to develop three demonstrators for advanced pattern recognition systems that could be used for data analysis.

27. This simplifies the recognition problem since overlapping points may be simply discriminated between and the problem becomes one of pattern recognition.

28. Systems for handwriting recognition Script recognition systems are traditionally most heavily concerned with the problem of pattern recognition.

29. The expounded basic step of BP network in bearing fault diagnosis includes BP network and state assignment, network training, pattern recognition and instant analysis of diagnosis.

30. This paper introduces how to recognize and locate the bonding pad from a silicon chip image with the method of Digital Image Processing and Pattern Recognition.