Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications (Q57606782)

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7 January 2021

Survey and critique of techniques for extracting rules from trained artificial neural networks

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

An evolutionary algorithm that constructs recurrent neural networks.

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https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

Cross-validatory selection of test and validation sets in multivariate calibration and neural networks as applied to spectroscopy

1 reference

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7 January 2021

An iterative pruning algorithm for feedforward neural networks.

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

A self-generating modular neural network architecture for supervised learning

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

Gradient radial basis function networks for nonlinear and nonstationary time series prediction

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

Linear and nonlinear ARMA model parameter estimation using an artificial neural network.

1 reference

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7 January 2021

Recurrent neural networks and robust time series prediction.

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

Effects of Learning Parameters on Learning Procedure and Performance of a BPNN.

1 reference

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7 January 2021

An artificial neural network approach to rainfall-runoff modelling

1 reference

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7 January 2021

Structure optimization of neural networks with the A*-algorithm.

1 reference

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7 January 2021

Finding Structure in Time

1 reference

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7 January 2021

Neural networks and traditional time series methods: a synergistic combination in state economic forecasts

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

Multiplication-free radial basis function network.

1 reference

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7 January 2021

Long short-term memory

1 reference

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7 January 2021

Multilayer feedforward networks are universal approximators

1 reference

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7 January 2021

Artificial Neural Network Modeling of the Rainfall-Runoff Process

1 reference

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7 January 2021

Bounds on the number of hidden neurons in multilayer perceptrons

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

A simple procedure for pruning back-propagation trained neural networks.

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

ANNSTLF-a neural-network-based electric load forecasting system

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

Optimization by Simulated Annealing

1 reference

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7 January 2021

Constructive algorithms for structure learning in feedforward neural networks for regression problems

1 reference

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7 January 2021

Objective functions for training new hidden units in constructive neural networks.

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

Robust error measure for supervised neural network learning with outliers.

1 reference

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7 January 2021

Learning long-term dependencies in NARX recurrent neural networks.

1 reference

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7 January 2021

An Efficient EM-based Training Algorithm for Feedforward Neural Networks.

1 reference

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7 January 2021

The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study

1 reference

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7 January 2021

Understanding the behaviour and optimising the performance of back-propagation neural networks: an empirical study

1 reference

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7 January 2021

Use of artificial neural networks for modelling cyanobacteria Anabaena spp. in the River Murray, South Australia

1 reference

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7 January 2021

A logical calculus of the ideas immanent in nervous activity

1 reference

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7 January 2021

Network information criterion-determining the number of hidden units for an artificial neural network model.

1 reference

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7 January 2021

Identification and control of dynamical systems using neural networks

1 reference

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7 January 2021

Fast Second Order Learning Algorithm for Feedforward Multilayer Neural Networks and its Applications.

1 reference

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7 January 2021

A generalized learning paradigm exploiting the structure of feedforward neural networks.

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

Stream hydrological and ecological responses to climate change assessed with an artificial neural network

1 reference

https://api.crossref.org/works/10.1016%2FS1364-8152%2899%2900007-9

7 January 2021

Pruning algorithms-a survey.

1 reference

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7 January 2021

Neural networks in financial engineering: a study in methodology

1 reference

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7 January 2021

Modeling complex environmental data

1 reference

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7 January 2021

A Stochastic Approximation Method

1 reference

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7 January 2021

Learning representations by back-propagating errors

1 reference

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7 January 2021

Estimating the Dimension of a Model

1 reference

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7 January 2021

A penalty-function approach for pruning feedforward neural networks.

1 reference

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7 January 2021

Use of a quasi-Newton method in a feedforward neural network construction algorithm.

1 reference

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7 January 2021

Computational capabilities of recurrent NARX neural networks.

1 reference

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7 January 2021

Capabilities of a four-layered feedforward neural network: four layers versus three.

1 reference

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7 January 2021

Fast training of multilayer perceptrons.

1 reference

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7 January 2021

Premature Saturation in Backpropagation Networks: Mechanism and Necessary Conditions.

1 reference

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7 January 2021

A fast multilayer neural-network training algorithm based on the layer-by-layer optimizing procedures.

1 reference

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7 January 2021

Avoiding false local minima by proper initialization of connections

1 reference

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7 January 2021

Learning in Artificial Neural Networks: A Statistical Perspective

1 reference

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7 January 2021

A new evolutionary system for evolving artificial neural networks.

1 reference

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7 January 2021

10.1016/S1364-8152(99)00007-9

Identifiers

DOI

0 references

DBLP publication ID

journals/envsoft/MaierD00

1 reference

DBLP Dataset 2021-01-02