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Flood Forecasting Using Machine Learning Methods
Flood Forecasting Using Machine Learning Methods
Autore Chang Fi-John
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 online resource (376 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato adaptive neuro-fuzzy inference system (ANFIS)
ANFIS
ANN
ANN-based models
artificial intelligence
artificial neural network
artificial neural networks
backtracking search optimization algorithm (BSA)
bat algorithm
bees algorithm
big data
classification and regression trees (CART)
convolutional neural networks
cultural algorithm
data assimilation
data forward prediction
data scarce basins
data science
database
decision tree
deep learning
disasters
Dongting Lake
early flood warning systems
empirical wavelet transform
ensemble empirical mode decomposition (EEMD)
ensemble machine learning
ensemble technique
extreme event management
extreme learning machine (ELM)
flash-flood
flood events
flood forecast
flood forecasting
flood inundation map
flood prediction
flood routing
flood susceptibility modeling
forecasting
Google Maps
Haraz watershed
high-resolution remote-sensing images
hybrid &
hybrid neural network
hydrograph predictions
hydroinformatics
hydrologic model
hydrologic models
hydrometeorology
improved bat algorithm
invasive weed optimization
Karahan flood
lag analysis
Lower Yellow River
LSTM
LSTM network
machine learning
machine learning methods
method of tracking energy differences (MTED)
micro-model
monthly streamflow forecasting
Muskingum model
natural hazards &
nonlinear Muskingum model
optimization
parameters
particle filter algorithm
particle swarm optimization
phase space reconstruction
postprocessing
precipitation-runoff
rainfall-runoff
random forest
rating curve method
real-time
recurrent nonlinear autoregressive with exogenous inputs (RNARX)
runoff series
self-organizing map
self-organizing map (SOM)
sensitivity
soft computing
St. Venant equations
stopping criteria
streamflow predictions
superpixel
support vector machine
survey
the Three Gorges Dam
the upper Yangtze River
time series prediction
uncertainty
urban water bodies
water level forecast
Wilson flood
wolf pack algorithm
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346688303321
Chang Fi-John  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding / Jurgita Antuchevičienė, Samarjit Kar, Edmundas Kazimieras Zavadskas
Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding / Jurgita Antuchevičienė, Samarjit Kar, Edmundas Kazimieras Zavadskas
Autore Antuchevičienė Jurgita
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (394 p.)
Soggetto topico Computer science
Soggetto non controllato artificial neural network
sustainability hierarchy
expert
Rough Hamy aggregator
sustainable solution
crank–slider
technology selection problem
AHP
bus pass
optimization
discrete time/cost trade-off
Rough WASPAS
hybrid multi-criteria decision making (MCDM)
travel times
extended Tomada de Decisão Interativa Multicritério (TODIM)
bi-level programming
multi-objective evolutionary algorithms
project scheduling
WASPAS
port scheduling
rehydration
sustainable transport policy
gold mines
hybrid mathematical model
sustainable developments
straw bales
group decision making
contractor
Total Interpretive Structural Modeling (TISM)
MULTIMOORA
building investment project
heuristics
cleaner production (CP)
particle swarm optimization (PSO)
optimization study
critical information infrastructures
bi-objective optimization
dynamic analysis
location-allocation problem
probabilistic linguistic term sets (PLTSs)
drying
multiple objective optimization
multi-objective decision-making (MODM)
ranking
hierarchical SWARA
choice
linguistic hesitant fuzzy set and Standard variance
multiple-attribute decision-making (MADM)
project
sustainable energy evaluation
emission of pollutants
genetic algorithm
ARAS-G
multi-purpose system
renewable energy
assessment
hospital evaluation
bat algorithm
multiple-criteria decision-making
comfort of use of buildings
energy efficiency
healthcare facility
conceptual framework
hybrid expert system
engineering
sustainability
verbal analysis
sustainable energy developments
sustainable development
hybrid
public transport
water resource management
compacted clay
multiple criteria decision making (MCDM)
MCDM
particle swarm optimization algorithm
sustainable traffic
single-cylinder engine
Rough BWM
policy measures
apple
clay blocks
historic buildings
hesitant fuzzy set
construction
TOPSIS-GM
roundabout
fuzzy
sustainable transport
surface transport
grey
Multiple Attribute Decision Making (MADM)
WSM
ecological building
management
Geomean
SWARA
vibration suppression
organizations
innovation in transport
risk
berth-quay crane joint scheduling
cost calculation
multiple criteria decision aid
ISBN 9783039211432
3039211439
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367758803321
Antuchevičienė Jurgita  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Novel Methods and Applications for Mineral Exploration
Novel Methods and Applications for Mineral Exploration
Autore Alexandre Paul
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (264 p.)
Soggetto topico Earth sciences, geography, environment, planning
Soggetto non controllato (co)-simulation
3D mineral prospectivity modeling
area under the curve
Axi deposit
bat algorithm
cross-gradients constraints
CSAMT
data-space
deep mineral exploration
dual-frequency IP
elastic-net regularization
epithermal gold deposits
exploration
exploration targeting
GA-SVR
geochemical exploration
geochemical fingerprinting
grain size analysis
granite
gravity
gravity gradiometry
inversion
Jinchuan Cu-Ni sulfide deposit
joint inversion
JORC code
Kagenfels
laser-induced breakdown spectroscopy
LCT
LIBS
limestone deposit
lithium
magnetotelluric
micro-imaging
mineral exploration
mineral prospectivity mapping
mineral resource classification
mineral texture
model-space
MT
Natzwiller
niobium
one-class support vector machine
pegmatite
project pursuit multivariate transform
QEMSCAN®
receiver operating characteristic
spatial analysis
stream sediments
targeting
tungsten
Variscan orogeny
Vosges
Youden index
ISBN 3-03928-944-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404081303321
Alexandre Paul  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui