Selection of most relevant input parameters using WEKA for artificial neural network based concrete compressive strength prediction model

Research article (2016 IEEE 7th Power India International Conference (PIICON), 2016) · cited 25× · AI/ML
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Selection of most relevant input parameters using WEKA for artificial neural network based concrete compressive strength prediction model

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Selection of most relevant input parameters using WEKA for artificial neural network based concrete compressive strength prediction model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Selection of most relevant input parameters using WEKA for artificial neural network based concrete compressive strength prediction model. Retrieved May 24, 2026, from https://4ort.xyz/entity/selection-of-most-relevant-input-parameters-using-weka-for-artificial-neural-network-based-concrete-compressive-strength
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BibTeX @misc{4ortxyz_selection-of-most-relevant-input-parameters-using-weka-for-artificial-neural-network-based-concrete-compressive-strength_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Selection of most relevant input parameters using WEKA for artificial neural network based concrete compressive strength prediction model}}, year = {2026}, url = {https://4ort.xyz/entity/selection-of-most-relevant-input-parameters-using-weka-for-artificial-neural-network-based-concrete-compressive-strength}, note = {Accessed: 2026-05-24}}
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