Comparison of regression-based and machine learning techniques to explain alpha diversity of fish communities in streams of central and eastern India

Comparison of regression-based and machine learning techniques to explain alpha diversity of fish communities in streams of central and eastern India

Over the past several decades, ecologists have been striving to develop models that accurately describe species-habitat relationships across ecological communities. Statistical models that explain ecological dynamics need to consider the nuances of the complex interactions between communities and ec...

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Bibliographic Details
Main Authors: Bhat, A. (Author), Mondal, R. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
additive
Additives
artificial neural network
Artificial neural network
Central India
comparative study
Eastern India
Ecosystems
Feature extraction
Fish
Forestry
Freshwater fish
Freshwater fishes
Generalized additive model
Generalized additive models
homogeneity
India
Linear mixed models
machine learning
Machine learning
Machine learning techniques
Model method
Multivariate adaptive regression splines
Neural networks
Neural-networks
Pisces
regression analysis
Regression analysis
species diversity
species richness
Species richness and diversities
Splines
Water
water temperature
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