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Volumn 133, Issue 3-4, 2009, Pages 145-155

Artificial neural networks in the estimation of stand density from cyclic aerial photographs;Umjetne neuronske mreže u procjeni sastojinskih obrasta s cikličkih snimaka

Author keywords

Artificial neural networks; Cyclic aerial photographs; Density; Remote sensing; Texture

Indexed keywords

ABSOLUTE VALUES; ACTIVATION FUNCTIONS; AERIAL PHOTOGRAPHS; ALGORITHM MODEL; ALTERNATIVE APPROACH; ARITHMETIC MEAN; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BASAL AREA; COMMON BEECH; CROATIA; CROSS-VALIDATION METHODS; CUT OUT; CYCLIC AERIAL PHOTOGRAPHS; DATA MODELS; DATA SETS; DECISION MAKING PROCESS; DENSITY; DENSITY ESTIMATION; DENSITY VALUE; DUAL APPROACH; EARLY STOPPING; ERROR BACK PROPAGATION; ERROR BACK PROPAGATION ALGORITHM; FEEDBACK CONNECTION; FIRST ORDER; FOREST RESOURCES; HIDDEN LAYERS; HIDDEN NEURONS; IMPERFECT DATA; INPUT DATA; INPUT VALUES; INPUT-OUTPUT; LEARNING DATA; MAIN COMPONENT; MANAGEMENT PLANS; MATLAB FUNCTIONS; MULTI LAYER PERCEPTRON; NEW TECHNOLOGIES; OPTIMAL ARCHITECTURE; OPTIMAL MODEL; OUTPUT LAYER; OUTPUT VALUES; PEDUNCULATE OAK; REPEATED MEASUREMENTS; RESILIENT BACKPROPAGATION; SCALED CONJUGATE GRADIENT ALGORITHM; SECOND ORDERS; SELF-ORGANIZING NEURAL NETWORK; SPECTRAL FEATURE; STAND DENSITIES; STANDARD DEVIATION; TEXTURAL FEATURE; TIME OF TRANSITIONS; TRAINING SETS;

EID: 67651095866     PISSN: 03731332     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

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