Multilayer feedforward networks are universal approximators
Neural Networks
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Neural networks: applications in industry, business and science
Communications of the ACM
Time series forecasting using neural networks
APL '94 Proceedings of the international conference on APL : the language and its applications: the language and its applications
Neural network models for time series forecasts
Management Science
Sales forecasting using time series and neural networks
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
Neural network applications in business: a review and analysis of the literature (1988-95)
Decision Support Systems
Computers in Industry - special issue ASI'94 selection of papers presented at the advanced summer institute “computer integrated manufacturing and industrial automation” Patras, Greece, 26 June—1 July 1994
Neural network applications in finance: a review and analysis of literature (1990-1996)
Information and Management
Fuzzy neural networks with application to sales forecasting
Fuzzy Sets and Systems
A bibliography of neural network business applications research: 1994–1998
Computers and Operations Research - Neural networks in business
Industrial Applications of Neural Networks
Industrial Applications of Neural Networks
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Forecasting Sales Using Neural Networks
Proceedings of the International Conference on Computational Intelligence, Theory and Applications
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Forecasting the Air Transport Demand for Passengers with Neural Modelling
SBRN '02 Proceedings of the VII Brazilian Symposium on Neural Networks (SBRN'02)
Demand Forecasting by the Neural Network with Discrete Fourier Transform
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6 - Volume 6
The accuracy of a procedural approach to specifying feedforward neural networks for forecasting
Computers and Operations Research
Evolving neural network for printed circuit board sales forecasting
Expert Systems with Applications: An International Journal
ADANN: automatic design of artificial neural networks
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
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While artificial neural networks (NN) promise superior performance in forecasting theory, they are not an established method in business practice. The vast degrees of freedom in modeling NNs have lead to countless publications on heuristic approaches to simplify modeling, training, network selection and evaluation. However, not all studies have conducted experiments with the same scientific rigor, limiting their relevance to further NN research and practice. Consequently, we propose a systematic evaluation to identify successful heuristics and derive sound guidelines to NN modeling from publications. As each forecasting domain of predictive classification or regression imposes different heuristics on specific datasets, a literature review is conducted, identifying 47 publications within the homogeneous business domain of sales forecasting and demand planning out of 4790 publications within the domain of NN forecasting. The identified publications are evaluated through a framework regarding their validity in experiment design and reliability through documentation, in order to identify and promote preeminent publications, derive recommendations for future experiments and identify gaps in current research and practice.