Cha huang (4 Ergebnisse)

24 the world s most amazing class (big Collection)
(MEI )CHA ER SI HA NAI ER (Charles E Haanel ) FU YUAN HUANG XIAO YAN YI
Verlag: New World Press Pub. Date :2010-02-01, 2010
- Softcover
Anbieter: ThriftBooks-Dallas, Dallas, TX, USAThriftBooks-Dallas
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EUR 8,96
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Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

24 the world s most amazing class (big Collection)
(MEI )CHA ER SI HA NAI ER (Charles E Haanel ) FU YUAN HUANG XIAO YAN YI
Verlag: New World Press Pub. Date :2010-02-01, 2010
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Ausreichend
EUR 9,26
Versand gratisVersand innerhalb von USAAnzahl: 1 verfügbar
Zustand: Acceptable. Item in acceptable condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

24 the world s most amazing class (big Collection)
(MEI )CHA ER SI HA NAI ER (Charles E Haanel ) FU YUAN HUANG XIAO YAN YI
Verlag: New World Press Pub. Date :2010-02-01, 2010
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Befriedigend
EUR 9,26
Versand gratisVersand innerhalb von USAAnzahl: 2 verfügbar
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 395,63
EUR 30,50 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Neuware - Neural Network Algorithms and Their Engineering Applications presents the relevant techniques used to improve the global search ability of neural network algorithms in solving complex engineering problems with multimodal properties. The book provides readers with a complete study of how to use artificial neural networks to design a population-based metaheuristic algorithm, which in turn promotes the application of artificial neural networks in the field of engineering optimization.The authors provide a deep discussion for the potential application of machine learning methods in improving the optimization performance of the neural network algorithm, helping readers understand how to use machine learning methods to design improved versions of the algorithm. Users will find a wealth of source code that covers all applied algorithms. Code applications enhance readers' understanding of methods covered and facilitate readers' ability to apply the algorithms to their own research and development projects.…