Artificial neural networks based on principal component analysis, fuzzy systems and fuzzy neural networks for preliminary design of rubble mound breakwaters

Applied Ocean Research

Volumn 32, Issue 4, 2010, Pages 425-433

  Balas, Can Elmar ^a   Koç, M Levent ^b   Tür, Rfat ^c  

^a GAZI UNIVERSITY   (Turkey)

^b CUMHURIYET UNIVERSITY   (Turkey)

^c AKDENIZ UNIVERSITY   (Turkey)

Author keywords

Artificial intelligence; Fuzzy sets; Neural networks; Rubble mound breakwaters

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ENHANCEMENT TECHNIQUES; FUZZY NEURAL NETWORK MODEL; HYBRID ARTIFICIAL NEURAL NETWORK; HYBRID NEURAL NETWORKS; MULTI-LAYER FEED FORWARD; PRELIMINARY DESIGN; ROBUST TECHNIQUE; RUBBLE MOUND BREAKWATERS; STABILITY ANALYSIS; STABILITY EQUATIONS; STABILITY NUMBER;

ARTIFICIAL INTELLIGENCE; BREAKWATERS; DESIGN; EXPERT SYSTEMS; FUZZY LOGIC; FUZZY SETS; PRINCIPAL COMPONENT ANALYSIS; SHIPS; UNCERTAINTY ANALYSIS; WIRELESS SENSOR NETWORKS;

FUZZY NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BREAKWATER; DESIGN METHOD; FORECASTING METHOD; FUZZY MATHEMATICS; NUMERICAL MODEL; PRINCIPAL COMPONENT ANALYSIS; STABILITY ANALYSIS;

EID: 78649744701     PISSN: 01411187     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apor.2010.09.005     Document Type: Article

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