Application of fuzzy T-norms towards a new Artificial Neural Networks' evaluation framework: A case from wood industry

Information Sciences

Volumn 178, Issue 20, 2008, Pages 3828-3839

  Iliadis, L S ^a   Spartalis, S ^a   Tachos, S ^b  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Fuzzy algebra; Fuzzy sets; Intelligent ANN evaluation algorithms; T norms

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; ELECTRIC NETWORK TOPOLOGY; ERROR CORRECTION; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; PROCESS ENGINEERING; STANDARDS; VEGETATION; WOOD;

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; CORRECTION PROCESSES; CRITICAL ISSUES; EVALUATION FRAMEWORK; FUZZY ALGEBRA; FUZZY LOGICS; FUZZY SETS; INDUSTRIAL CASE STUDIES; INFORMED DECISIONS; INTELLIGENT ANN EVALUATION ALGORITHMS; LEARNING PARAMETERS; NETWORK TOPOLOGIES; OVERALL PERFORMANCE; PERFORMANCE IMPROVEMENTS; PROCESSING ELEMENTS; T-NORMS; TESTING PROCEDURES; WOOD INDUSTRY;

NEURAL NETWORKS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ERRORS; NEURAL NETWORKS; PLANTS; STANDARDS; WOOD;

EID: 48949100105     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2008.05.033     Document Type: Article

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