Measuring advertisement effectiveness - A neural network approach

Expert Systems with Applications

Volumn 31, Issue 1, 2006, Pages 159-163

  Ramalingam, V ^a   Palaniappan, B ^a   Panchanatham, N ^a   Palanivel, S ^a  

^a ANNAMALAI UNIVERSITY   (India)

Author keywords

Advertisement effectiveness; Artificial Neural Networks; Backpropagation algorithm

Indexed keywords

ALGORITHMS; COST EFFECTIVENESS; DATA MINING; INFORMATION ANALYSIS; MARKETING; TELEVISION BROADCASTING;

ADVERTISEMENT EFFECTIVENESS; BACKPROPAGATION ALGORITHM; BROADCAST ADVERTISEMENTS;

NEURAL NETWORKS;

EID: 33644746291     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.09.014     Document Type: Article

References (16)

1. D.A. Aaker, and J.G. Myers Advertising management 1982 Prentice-Hall Englewood Cliffs, NJ
2. P. Doyle, and J. Saunders Multiproduct advertising budgeting Marketing Science 9 2 1990 97 113
3. S. Haykin Neural networks: A comprehensive foundation 2003 PHI India
4. D.C.J. Little Decision support systems for marketing managers Journal of Marketing 43 3 1979 26
5. Poh, H. L. (1991). A neural network approach for marketing strategies research and decision support. PhD thesis, Stanford University.
6. H.L. Poh, J. Yao, and T. Jasic ANN for the analysis and forecasting of advertising and promotion impact International Journal of Intelligent Systems in Accounting, Finance and Management 7 4 1998 253 268
7. V. Ramalingam, S.B. Kalyanaraman, and K.T. Arulmozhi Artificial neural network modeling - Ultrasonic velocities in binary liquid systems Chemical Engineering World 2004 75 77
8. V. Ramalingam, B. Palaniappan, N. Panchanatham, and K. Rajendran Neural Network approach for classifying students Proceedings of the national conference on applications of neural networks and fuzzy systems 2002 Department of CSE, Annamalai University Tamil Nadu, India (pp. 140-146)
9. V. Ramalingam, K. Rajan, and M. Ganesan Applications of neural network for natural language processing Proceedings of the national conference on applications of neural networks and fuzzy systems 2002 Department of CSE, Annamalai University Tamil Nadu, India (pp. 40-43)
10. V. Ramalingam, K. Rajan, and M. Ganesan Application of neural networks for Tamil studies Proceedings of the international seminar in Tamil computing 2002 University of Madras Chennai, India
11. D.E. Rumelhart, G.E. Hinton, and R.J. Williams Learning internal representations by error propagation D.E. Rumelhart J.L. McClelland Parallel distributed processing: Explorations in the micro-structure of cognition Vol. 1 1986 MIT Press Cambridge, MA 318 362
12. D.E. Rumelhart, G.E. Hinton, and R.J. Williams Learning representations of back-propagation error Nature (London) 323 1986 533 536
13. R. Vaughan How advertising works: A planning model Journal of advertising research 26 1 1986 57 66
14. Ganesh K. Venayagamoorthy, Viresh Moonasar, and Kumbes Sandrasegaran Voice recognition using neural networks IEEE 1998 29 32
15. A.S. Weigend, D.E. Rumelhart, and B.A. Huberman Predicting the future: A connectionist approach International Journal of Neural Systems 1 3 1990 193 209
16. W. Wells, J. Burnet, and S. Moriarty Advertising principles and practice 2003 Pearson Education India