Journal ArticleDOI
Optimizing signal decomposition techniques in artificial neural network-based rainfall-runoff model
TLDR
An approach to optimize window length for SSA and number of decomposition stages for wavelet transform applied in a rainfall-runoff model is addressed and a hybrid neural network is developed to take the advantage of wavelet and SSA-based ANN models.Abstract:
The proper function of artificial neural networks (ANNs) depends on several factors including the suitability of input variables and the amount of information they can add to the model in order to produce the required target output(s). Wavelet transforms and to lesser extent singular spectrum analysis (SSA) are well known and widely applied pre-processing methods to enhance ANN models. An important step in the SSA algorithm and wavelet transform method is choosing the window length (L) and determining the suitable number of decomposition stages, respectively. In most past research, these parameters have been used as granted. Moreover, a research to show the impact of using a combination of wavelet and SSA is absent. This study addresses an approach to optimize window length for SSA and number of decomposition stages for wavelet transform applied in a rainfall-runoff model. Moreover, a hybrid neural network is developed to take the advantage of wavelet and SSA-based ANN models. The results show a s...read more
Citations
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Journal ArticleDOI
Mahseer (Tor spp.) fishes of the world: status, challenges and opportunities for conservation.
Adrian C. Pinder,Adrian C. Pinder,J. Robert Britton,Andrew J. Harrison,Andrew J. Harrison,Prakash Nautiyal,Shannon D. Bower,Shannon D. Bower,Steven J. Cooke,Steve Lockett,Mark Everard,Mark Everard,Unmesh Katwate,K. Ranjeet,Sam E. Walton,Andy J. Danylchuk,Neelesh Dahanukar,Rajeev Raghavan,Rajeev Raghavan +18 more
TL;DR: Information on these 16 Tor fishes is synthesised for the first time, outlining the current state of knowledge for each species, including their known distributions and population status, and the outstanding gaps in knowledge are identified.
Journal ArticleDOI
Extreme learning machine-based prediction of daily water temperature for rivers
TL;DR: In this article, the authors proposed an extreme learning machine (ELM)-based model to predict daily water temperature for rivers, and the results indicated that the ELM model developed in this study can be effectively used for river water temperature prediction.
Journal ArticleDOI
Ecological influence of sediment bypass tunnels on macroinvertebrates in dam-fragmented rivers by DNA metabarcoding
Joeselle M. Serrana,Sakiko Yaegashi,Shunsuke Kondoh,Bin Li,Christopher T. Robinson,Kozo Watanabe +5 more
TL;DR: It is found that macroinvertebrate community dissimilarity decreases with increasing operation time and frequency of SBTs, which supports and reinforces the use of quantitative estimates for diversity analysis with metabarcoding data.
Journal ArticleDOI
Application of Integrated Artificial Neural Networks Based on Decomposition Methods to Predict Streamflow at Upper Indus Basin, Pakistan
TL;DR: In this article, the authors developed a novel hybrid model for streamflow forecasting and validated its efficiency at the upper Indus basin (UIB), Pakistan by incorporating artificial intelligence (AI) models, which includes feedforward backpropagation (FFBP) and Radial basis function (RBF) with decomposition methods.
Journal ArticleDOI
Hybrid Models for Weather Parameter Forecasting
Rashmi Bhardwaj,Varsha Duhoon +1 more
TL;DR: In this paper, a hybrid model over the convectional models is designed for forecasting the weather parameters for the reduction of errors in weather forecasting in tropical countries such as India, where the objective is to build a conjunction model with less error to forecast weather parameters.
References
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Book
Analysis of Time Series Structure: SSA and related techniques
TL;DR: In this article, the authors present a detailed treatment of the singular spectrum analysis (SSA) methodology and apply SSA ideas to change point detection algorithms, and formulate and prove the statements of Part I.
Journal ArticleDOI
Recent advances in wavelet analyses: Part 1. A review of concepts
TL;DR: A multiresolution continuous wavelet analysis method is shown to significantly improve the determination of the temporal-scale structure of a given signal and the concept of wavelet entropy in bothContinuous wavelet cross-correlation and wavelet coherence are introduced allowing for an estimation of theporal evolution of aGiven hydrological or climatologic signal's complexity.
Journal ArticleDOI
Analysis of Time Series Structure SSA and Related Techniques
TL;DR: MRPPs are applied in least absolute distance (LAD) regression, randomized block experimental designs, goodness-of- t tests, and traditional and generalized contingency tables and serve as a nonparametric and versatile alternative tools to many traditional statistical approaches.