Improvement of the Training and Normalization Method of Artificial Neural Network in the Prediction of Indoor Environment
Summary
Improvement of the Training and Normalization Method of Artificial Neural Network in the Prediction of Indoor Environment is a scholarly article[1].
Key Facts
Improvement of the Training and Normalization Method of Artificial Neural Network in the Prediction of Indoor Environment's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improvement of the Training and Normalization Method of Artificial Neural Network in the Prediction of Indoor Environment. Retrieved May 24, 2026, from https://4ort.xyz/entity/improvement-of-the-training-and-normalization-method-of-artificial-neural-network-in-the-prediction-of-indoor-environmen
MLA“Improvement of the Training and Normalization Method of Artificial Neural Network in the Prediction of Indoor Environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improvement-of-the-training-and-normalization-method-of-artificial-neural-network-in-the-prediction-of-indoor-environmen.
BibTeX@misc{4ortxyz_improvement-of-the-training-and-normalization-method-of-artificial-neural-network-in-the-prediction-of-indoor-environmen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improvement of the Training and Normalization Method of Artificial Neural Network in the Prediction of Indoor Environment}}, year = {2026}, url = {https://4ort.xyz/entity/improvement-of-the-training-and-normalization-method-of-artificial-neural-network-in-the-prediction-of-indoor-environmen}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improvement of the Training and Normalization Method of Artificial Neural Network in the Prediction of Indoor Environment — https://4ort.xyz/entity/improvement-of-the-training-and-normalization-method-of-artificial-neural-network-in-the-prediction-of-indoor-environmen (retrieved 2026-05-24)