Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: methods used for the development of neural networks for the prediction of water resource variables in river systems : current status and future directions .
Improved streamflow forecasting using self-organizing radial basis function artificial neural networks
Neural Networks in Civil Engineering : 1989 − 2000
Monthly Rainfall Prediction Using Wavelet Neural Network Analysis
Quantile regression neural networks: Implementation in R and application to precipitation downscaling
Financial forecasting based on artificial neural networks: Promising directions for modeling
Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application
Applications of Recurrent Neural Networks in Environmental Factor Forecasting: A Review
The principles and practice of time series forecasting and business modelling using neural nets
An ensemble of neural networks for weather forecasting
Applications of Metaheuristics in Reservoir Computing Techniques: A Review
Artificial Neural Networks' Application in Weather Forecasting - Using RapidMiner
Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks
Flood flow forecasting using ANN, ANFIS and regression models
Predicting and analyzing water quality using Machine Learning: A comprehensive model
Using neural networks in reliability prediction
Time series prediction based on NARX neural networks: An advanced approach
regression and neural networks models for prediction of crop production .
A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin
Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques
A neural network based predictive mechanism for available bandwidth
Rollout Sampling Policy Iteration for Decentralized POMDPs
A Comprehensive Survey of Data Mining-based Fraud Detection Research
Networks and the best approximation property
SVDNet for Pedestrian Retrieval
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level