Quantitative Analysis of Gradient Descent Algorithm using scaling methods for improving the prediction process based on Artificial Neural Network

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Quantitative Analysis of Gradient Descent Algorithm using scaling methods for improving the prediction process based on Artificial Neural Network

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Quantitative Analysis of Gradient Descent Algorithm using scaling methods for improving the prediction process based on Artificial Neural Network is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Quantitative Analysis of Gradient Descent Algorithm using scaling methods for improving the prediction process based on Artificial Neural Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantitative-analysis-of-gradient-descent-algorithm-using-scaling-methods-for-improving-the-prediction-process-based-on-
MLA “Quantitative Analysis of Gradient Descent Algorithm using scaling methods for improving the prediction process based on Artificial Neural Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantitative-analysis-of-gradient-descent-algorithm-using-scaling-methods-for-improving-the-prediction-process-based-on-.
BibTeX @misc{4ortxyz_quantitative-analysis-of-gradient-descent-algorithm-using-scaling-methods-for-improving-the-prediction-process-based-on-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantitative Analysis of Gradient Descent Algorithm using scaling methods for improving the prediction process based on Artificial Neural Network}}, year = {2026}, url = {https://4ort.xyz/entity/quantitative-analysis-of-gradient-descent-algorithm-using-scaling-methods-for-improving-the-prediction-process-based-on-}, note = {Accessed: 2026-05-24}}
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