Using an artificial neural network trained with a genetic algorithm to model brand share

Author： Fish K.E. Johnson J.D. Dorsey R.E. Blodgett J.G.

Publisher： Elsevier

ISSN： 0148-2963

Source： Journal of Business Research, Vol.57, Iss.1, 2004-01, pp. : 79-85

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Using the artificial neural network to assess bank credit risk: a case study of Indonesia

By Hall Maximilian Muljawan Dadang Moorena Lolita

Applied Financial Economics, Vol. 19, Iss. 22, 2009-11 ,pp. : 1825-1846

Routledge Ltd

Access to resources Recommend Favorite

Using a neural network to forecast inflation

By Aiken Milam

Industrial Management & Data Systems, Vol. 99, Iss. 7, 1999-07 ,pp. : 296-301

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

A brand share prediction model based on several disparate sources of data: an empirical model of detergent choice in Mumbai, India

By Banerjee Arindam

Asia Pacific Journal of Marketing and Logistics, Vol. 16, Iss. 3, 2004-03 ,pp. : 3-22

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Resource optimisation through artificial neural network for handling supply chain constraints

By Sreenivasa C.G.

International Journal of Logistics Economics and Globalisation, Vol. 4, Iss. 1, 2012-06 ,pp. : 5-19

Inderscience Publishers

Access to resources Recommend Favorite

Forecasting exchange rates using an evolutionary neural network

By Alvarez-Diaz Marcos Alvarez Alberto

Applied Financial Economics Letters, Vol. 3, Iss. 1, 2007-01 ,pp. : 5-9

Routledge Ltd

Access to resources Recommend Favorite