000			01891nam a2200253 a 4500
001			vtls000025682
003			KUKTEM
005			20251114204343.0
008			080325t2007 my f m 000 0 eng|d
020			_aTHE0006077(Local)
039		9	_a201905151421 _baida _c201107132002 _dVLOAD _c200908141420 _dVLOAD _c200908141352 _dVLOAD _y200803251043 _zkam
040			_aUMP
090			_aTJ211.3 .B35 2007 rs Thesis
100	0		_aMohd Baihaqi Mohd Adenan
245	1	2	_aVision module for smart ping pong collector robot / _cMohd Baihaqi Bin Mohd Adenan
246	3		_aVision module for smart ping pong collector robot _h[electronic resource]
260			_aKuantan, Pahang : _bUMP, _c2007
300			_a42 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachelor of Electrical Engineering (Power systems)) -- Universiti Malaysia Pahang - 2007
520			_aThe purpose of this project is to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose image. This system which can fully recognizing the types of the data had been add in the data storage or called as training data. The Graphic User Interface in Neural Network toolbox is used. This is the alternative way to change the common usage of the MATLAB which are use the command insert at command window. From this kind of system, we just need to insert the features data or training data. The recognition done after we insert the test data. The system will recognize whether the output is match with the training data. Then output will produce a kind of graph that describes the feature of the data which is same as the training data.-Author
650		0	_aMATLAB
650		0	_aRobot vision
999			_aVIRTUA40 _c569 _d575
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*9992