An evolutionary neural classification approach to evaluate retail stores and support decisions on their location, in-store design and assortment

Proceedings of the International Conference on Artificial Intelligence, IC-AI'04

Volumn 1, Issue , 2004, Pages 228-234

  Stahlbock, Robert ^a  

^a UNIVERSITY OF HAMBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DECISION MAKING; FUNCTIONS; INVESTMENTS; LEARNING SYSTEMS; OPTIMIZATION; RETAIL STORES; SALES; SET THEORY; VECTOR QUANTIZATION;

ASSORTMENT; IN-STORE DESIGN; LEARNING VECTOR QUANTIZATION (LVQ); NEURAL CLASSIFICATION;

NEURAL NETWORKS;

EID: 12744281518     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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