Neural Networks
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Instance Selection and Construction for Data Mining
Instance Selection and Construction for Data Mining
Advanced Methods in Neural Computing
Advanced Methods in Neural Computing
Analysis of new techniques to obtain quality training sets
Pattern Recognition Letters - Special issue: Sibgrapi 2001
Scalable Representative Instance Selection and Ranking
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Computational Intelligence: Principles, Techniques and Applications
Computational Intelligence: Principles, Techniques and Applications
Handbook of Marketing Decision Models
Handbook of Marketing Decision Models
Evolutionary product-unit neural networks classifiers
Neurocomputing
A Logit Model of Brand Choice Calibrated on Scanner Data
Marketing Science
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
A hybrid forecast marketing timing model based on probabilistic neural network, rough set and C4.5
Expert Systems with Applications: An International Journal
Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting
Knowledge-Based Systems
Understanding consumer heterogeneity: A business intelligence application of neural networks
Knowledge-Based Systems
A class of hybrid morphological perceptrons with application in time series forecasting
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study
IEEE Transactions on Evolutionary Computation
Credit risk assessment and decision making by a fusion approach
Knowledge-Based Systems
A hybrid fuzzy intelligent agent-based system for stock price prediction
International Journal of Intelligent Systems
A rule-based intelligent method for fault diagnosis of rotating machinery
Knowledge-Based Systems
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Brand choice models, used for describing the process of choosing mutually exclusive alternatives, attracted a large amount of attention from researchers in the early of the recent decade. These models can be used as a market response simulator for simulating marketing strategies and assessing how changes in marketing variables such as pricing and promotions will influence consumer behavior and thus perform 'what-if' simulations. So a reliable and relevant brand choice model can be very useful and effective, which, in fact, represents a worthwhile opportunity to improve the efficiency of the marketing decisions. In this paper we offer a new approach by integrating of Probabilistic Neural Network (PNN) and Data preprocessing for brand choice modeling and constructing a market response simulator. This approach, called Preprocessed-Probabilistic Neural Network (PPNN), consists of two main stages. First, a robust Genetic Based Instance Selection Model (GBIS) employed to look for a representative data subset of instances in training data set. The second stage ends up with a relevant brand choice model, using a probabilistic neural network trained by Dynamic Decay Adjustment Algorithm (DDA). The evaluation process is carried out using the same data set been used in literature for modeling individual consumer choices in a retail coffee market. The evaluation results show that the offered approach outperforms all previous methods, so it can be considered as an effective tool for consumer behavior modeling and simulation.