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099		9	_aAIT Thesis no. ST-99-19
100	0		_aRattapoohm Parichatprecha
245	1	0	_aApplication of artificial neural networks in preliminary design of 2-D steel frames
260			_aBangkok : _bAsian Institute of Technology, _c1999
300			_a63 leaves : _bill.
490	1		_aThesis ; _vno. ST-99-19
502			_aThesis (M.Eng.) - Asian Institute of Technology, 1999
500			_aA thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Civil Engineering
520			_aThis study deals with the application of artificial neural networks in the preliminary design of 2-D steel frames. The preliminary design model is very importance in the synthesis of a finally acceptable solution in design problems. The preliminary process is extremely difficult to computerize because it requires engineering experiences and human intuition. Development of a network for preliminary design process has been reported. The simple characteristics of structural members (Moment, Shear force, Axial force, Length of each member, and type of member) were selected as the input data to the neural network to generate the sufficient areas of each member. Various considerations and the steps in the development of the neural network for preliminary design are illustrated with an example of optimal design of 2-D steel frames.
650		0	_aNeural networks (Computer science)
650		0	_aSteel framing (Building)
700	0		_aWorsak Kanok-Nukulchai, _eChairperson
700	0		_aPruettha Nanakorn, _eExamination committee
700	1		_aWijeyewickrema, Anil C., _eExamination committee
710	2		_aAsian Institute of Technology Partial Scholarship, _eScholarship donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. ST-99-19
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B12773
907			_a.b11763280 _bmnait _cy
902			_a240419
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