Comparison of FFNN and ANFIS models for estimating groundwater level

Environmental Earth Sciences

Volumn 62, Issue 6, 2011, Pages 1301-1310

  Sreekanth, P D ^a   Sreedevi, P D ^b   Ahmed, Shakeel ^b   Geethanjali, N ^c  

^a National Research Centre for Cashew   (India)

^b NATIONAL GEOPHYSICAL RESEARCH INSTITUTE   (India)

^c SRI KRISHNADEVARAYA UNIVERSITY   (India)

Author keywords

Artificial neural networks; Feed forward network; Fuzzy logic; Groundwater level

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ANDHRA PRADESH; ANFIS MODEL; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; CLIMATIC STRESS; COMPLEX PATTERN; DYNAMIC NATURE; ERROR VARIATION; FEED-FORWARD NETWORK; GROUNDWATER LEVEL; GROUNDWATER RESOURCES MANAGEMENT; GROUNDWATER SYSTEM; LEVENBERG-MARQUARDT ALGORITHM; NEGATIVE VALUES; REGRESSION COEFFICIENT; ROOT MEAN SQUARE ERRORS; STATISTICAL INDICES; STATISTICAL MODELING; UNCERTAIN FACTORS; WATER BALANCE;

ESTIMATION; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GROUNDWATER; GROUNDWATER FLOW; LAGRANGE MULTIPLIERS; LANDFORMS; PATTERN RECOGNITION; PLANNING; STATISTICAL METHODS; WATER LEVELS; WATERSHEDS;

GROUNDWATER RESOURCES;

ARTIFICIAL NEURAL NETWORK; CLIMATE EFFECT; COMPARATIVE STUDY; FUZZY MATHEMATICS; GROUNDWATER EXPLORATION; GROUNDWATER FLOW; WATER BUDGET; WATER LEVEL; WATER MANAGEMENT; WATER PLANNING;

ANDHRA PRADESH; INDIA; RANGA REDDY;

EID: 79952070507     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-010-0617-0     Document Type: Article

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