[PDF] Top 20 Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting
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Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting
... 1992 and 31 De- cember ...computation of the average areal precipitation over the watershed with an inverse squared distance weighting of the raingauges ...years of the obser- vation period, ... See full document
12
COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND MAXIMUM LIKELIHOOD CLASSIFICATION IN DIGITAL SOIL MAPPING
... use of ANNs for the prediction of soil class was described by Chagas et ...efficiency of this approach in digital soil ...lack of studies involving digital soil mapping in Brazil, and ... See full document
13
Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
... synthetic streamflow generation and streamflow forecasting include simple and multiple linear regression, autoregressive moving average (ARMA) models, ARMA with exogenous ... See full document
14
Short-Term Load Forecasting Using Artificial Neural Network
... problem of improving the accuracy of load forecasts has been an important topic of ...types of load forecasting methodologies as reported in [1] have their own ...Load ... See full document
6
A Neural Network Approach to Time Series Forecasting
... series forecasting. GRNN is a neural network proposed by Donald ...number of advantages over competing ...form of the underlying distributions. A major problem with the ARIMA and GARCH ... See full document
5
Long-range forecasting of intermittent streamflow
... explanations of long term trends (such as the decrease in the observed Balonne ...demonstration of a method, there is great scope for fu- ture work building on this approach for forecasting both ... See full document
33
RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.
... gene networks based on an ensemble of multilayer ...nature of the relationships between the variables, potentially capturing high-order and non linear dependencies between expression ... See full document
19
Clinics vol.65 número12
... SVM and RBFNN classifiers, and NETLAB 16 software was used to implement the MLP ...samples, and multiple train-and-test experiments can do ...parameters and to evaluate their ... See full document
6
A Hybridized Artificial Neural Network and Optimization Algorithms for the Diagnosis Of Cardiac Arrhythmias
... Kennedy and Eberhart are the original owners of Particle Swarm algorithm idea ...observation of social behavior in birds and ...representative of question's answer that moves in the ... See full document
8
A PROTOTYPE FOR CLASSIFICATION OF CLASSICAL MUSIC USING NEURAL NETWORKS
... task of music database organization would be an important ...time-consuming and subjective ...Tzanetakis and Cook [1] classify music in ten genres, namely, classical, country, disco, hip-hop, jazz, ... See full document
6
Development and Modeling of Hydro-formed circular sheet Using Neural Networks
... ial Neural Network is an information processing system that has certain performance characteristics in common with biologica l neural ...l neural networks have been developed as ... See full document
5
An Integrated Intelligent Neuro-Fuzzy Algorithm for Long-Term Electricity Consumption: Cases of Selected EU Countries
... constructed and tested in order to find the best ANFIS for Electric ...construction and examination of plausible ANFIS models. The type of membership function and the number of ... See full document
20
Estimating Suspended Sediment by Artificial Neural Network (ANN), Decision Trees (DT) and Sediment Rating Curve (SRC) Models (Case study: Lorestan Province, Iran)
... accuracy of decision trees (DT) (CART algorithm), artificial neural networks (Levenberg-Marquardt back propagation algorithm) and modified sediment rating curve (MSRC) model, in ... See full document
8
Spatial predictive mapping using artificial neural networks
... index, and the hill shade with defined angle of solar incidence as a parameter for the amount of solar radiation and ...grained and coarse grained soils and wetness ...density ... See full document
8
Design of Circular Microstrip Antenna Using Artificial Neural Networks
... design of a circular microstrip patch ...dimensions of microstrip patch antenna with high accuracy. The results of present study are quite ...implement neural models for predicting the design ... See full document
4
Fuzzy nonlinear regression using artificial neural networks
... using Artificial Neural Net- works. The working of the proposed method is illustrated by the case study with the data for temperature and evaporation for the IARI New Delhi ... See full document
11
Flood routing modelling with Artificial Neural Networks
... architecture and the consequential selection of vectors of characteristic features, we will explain some general properties of ...Since Artificial Neural Networks are ... See full document
6
Estimating soybean yields with artificial neural networks
... complexity of the statistical models used to estimate the productivity of many crops, including soybeans, restricts the use of this practice, but an alternative is the use of artificial ... See full document
9
ESTIMATION OF PHYSICAL AND CHEMICAL SOIL PROPERTIES BY ARTIFICIAL NEURAL NETWORKS
... as Artificial Neural Networks (ANNs) are promising to estimate soil properties as ...the neural structure of intelligent organisms, acquiring knowledge through experiences and ... See full document
9
THE INVESTIGATION SOLVABILITY OF THE SECOND BOUNDARY VALUE PROBLEM FOR PARTIAL DIFFERENTIAL EQUATION WITH INVOLUTORY DEVIATIONS IN THE LOWEST TERMS
... Application of Fourier method to investigation of the Dirichlet problem for partial differential equations with deviating arguments / ...Journal of Differential Equations and Applications, ... See full document
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