Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation

Research article (Journal of Environmental Management, 2022) · cited 190× · AI/ML
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Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation

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Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysis-of-input-set-characteristics-and-variances-on-k-fold-cross-validation-for-a-recurrent-neural-network-model-on-w
MLA “Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysis-of-input-set-characteristics-and-variances-on-k-fold-cross-validation-for-a-recurrent-neural-network-model-on-w.
BibTeX @misc{4ortxyz_analysis-of-input-set-characteristics-and-variances-on-k-fold-cross-validation-for-a-recurrent-neural-network-model-on-w_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation}}, year = {2026}, url = {https://4ort.xyz/entity/analysis-of-input-set-characteristics-and-variances-on-k-fold-cross-validation-for-a-recurrent-neural-network-model-on-w}, note = {Accessed: 2026-05-24}}
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