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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
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantitative Methods for Economics and Finance
| Quantitative Methods for Economics and Finance |
| Autore | Trinidad-Segovia J.E |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (418 p.) |
| Soggetto topico | Coins, banknotes, medals, seals (numismatics) |
| Soggetto non controllato |
academic cheating
asset pricing autoregressive integrated moving average (ARIMA) bilateral investment treaties biotechnological firms bitcoin Bitcoin cash flow management centered model Chinese listed companies co-movement cointegration commodity prices computational finance copula copulas corporate prudential risk correlation risk premium cryptocurrency DCC DEA decision-making process decreasing impatience deep learning deep recurrent convolutional neural networks delay derivation detection discount dispersion trading dynamically simulated autoregressive distributed lag (DYS-ARDL) econometrics EGARCH eigenvalues elasticity energy consumption ensemble empirical mode decomposition (EEMD) essential multicollinearity Ethereum EVT FD4 approach financial distress financial distress prediction financial markets forecasting foreign direct investment futures prices GARCH generalized Pareto distribution genetic algorithm (GA) gold historical simulation approach hurst exponent Hurst exponent induced risk aversion informality intercept intertemporal choice liquidity constraints liquidity risk local optima vs. local minima long memory macroeconomic propagation Markov Chain Monte Carlo simulation mean square error multicollinearity multiperiod financial management multiple periods non-linear macroeconomic modelling non-parametric efficiency noncentered model nonessential multicollinearity number of factors option arbitrage P 500 P500 pairs trading peaks-over-threshold pharmaceutical industry policy uncertainty precautionary savings probability probability of volatility cluster productivity profitability raise regression regional trade agreements Ripple risk S& scale economies SRA approach stock prices structural gravity model student t-copula support vector regression (SVR) tax evasion the financial accelerator threshold regression Tobin's q unconstrained distributed lag model United States VaR variance inflation factor volatility cluster volatility series volatility trading |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557564003321 |
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Trinidad-Segovia J.E
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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