Titlebook: Neuroleadership – die Grundannahmen in kritischer Analyse; Was Neurowissenschaf Gernot Schiefer,Ramona Gattner Book 2019 Springer Fachmedie

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https://doi.org/10.1007/978-3-658-23478-2Führungskonzepte; Neuro-Realismus; Gehirngerechtes Führen; SCARF Modell; AKTIV Modell; PERFEKT Schema; Sie

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Gernot Schiefer,Ramona GattnerFinden Sie heraus, ob Neuroleadership mit Hilfe der Anwendung neurowissenschaftlicher Erkenntnisse wirklich der Schlüssel erfolgreicher Mitarbeiterführung ist.Diese Wissenseinheit bietet eine differen

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Gernot Schiefer,Ramona Gattnerlanning Analytic Hierarchy Process (ERP-AHP) method is introduced. The ERP-AHP calculates the road weight by taking into account the factors that affect the road traffic comprehensively so that the planned route has better evacuation ability. The experimental results show that the GMERP model can ef

Repetitions

Gernot Schiefer,Ramona GattnerM models in the machine learning method is high, and the classification accuracy of RF and SVM models is up to 87.3% and 86%. In the deep learning algorithm, the classification accuracy of VGGNET-16 and RESNET-18 models is greatly improved compared with the machine learning method. The classificatio

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Gernot Schiefer,Ramona Gattnerferent time periods respectively. Finally, the output features of each layer are combined to represent the dynamically divided regions in the traffic network. The effectiveness of the model was verified in experiments on the Xi‘an urban traffic dataset.

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Gernot Schiefer,Ramona Gattner residents. Finally, the maximal covering model was performed to determine the most suitable locations. Six sites were selected from 312 potential sites, which cover whole potential demand settlements with an average travel distance of 2.9 km. The result of location optimization is reasonable and th

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2197-6708 s „Neuro-Realismus“ hilfreich ist, um bestehende Führungstheorien zukünftig überzeugender zu formulieren, wird abschließend diskutiert..978-3-658-23477-5978-3-658-23478-2Series ISSN 2197-6708 Series E-ISSN 2197-6716

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