000			02117cam a2200397 i 4500
001			20229479
003			PTSN
005			20240619150549.0
008			211124t2017 nyua b 001 0 eng
010			_a 2017016180
020			_a9781536118445 _q(hardcover)
020			_a1536118443 (hardcover)
040			_beng _erda _dSFPAGOH
042			_apcc
050	0	0	_aTP184 _b.A78 2017
245	0	0	_aArtificial neural networks in chemical engineering / _cAngelo Basile, Marjan Alavi, and Stefano Curcio, editors.
264		1	_aNew York : _bNova Science Publishers, _c[2017]
264		1	_a _c©2017
300			_ax, 265 pages : _billustrations ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aChemical engineering methods and technology.
504			_aIncludes bibliographical references and index.
505	0		_aAn Overview on Artificial Neural Networks: The Characteristics and Applications; Abstract; 1. Introduction; 1.1. A Brief History of ANN; 2. Computational Models of Neurons; 3. Creation of an ANN Model; 3.1. Data Collection; 3.2. Creating the Network; 3.3. Training the Network; 3.4. Validating the Network; 3.4.1. Early Stopping; 3.4.2. Regularization; 4. Application of ANN in Chemical Engineering; 4.1. Oil and Gas Industry; 4.2. Chemical Reaction Engineering; 4.3. Wastewater Treatment; 5. Conclusion; Nomenclature; Acronym; References.
650		0	_aChemical engineering _xData processing.
650		0	_aNeural networks (Computer science)
700	1		_aBasile, Angelo _q(Angelo Bruno), _eeditor.
776	0	8	_iOnline version: _tArtificial neural networks in chemical engineering _dHauppauge, New York : Nova Science Publishers, Inc., [2018] _z9781536118681 _w(DLC) 2018000028
907			_a.b10562643 _b25-11-21 _c23-02-21
998			_am _b24-11-21 _ca _d- _e- _feng _gnyu _h0
999			_c47597 _d47597