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MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in different agro-climatic conditions
Research article (Industrial Crops and Products, 2023) · cited 12× · AI/ML
MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in different agro-climatic conditions
Summary
MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in different agro-climatic conditions is a scholarly article[1].
Key Facts
MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in different agro-climatic conditions's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in different agro-climatic conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/mlp-multi-layer-perceptron-and-rbf-radial-basis-function-neural-network-approach-for-estimating-and-optimizing-6-gingero
MLA“MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in different agro-climatic conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mlp-multi-layer-perceptron-and-rbf-radial-basis-function-neural-network-approach-for-estimating-and-optimizing-6-gingero.
BibTeX@misc{4ortxyz_mlp-multi-layer-perceptron-and-rbf-radial-basis-function-neural-network-approach-for-estimating-and-optimizing-6-gingero_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in different agro-climatic conditions}}, year = {2026}, url = {https://4ort.xyz/entity/mlp-multi-layer-perceptron-and-rbf-radial-basis-function-neural-network-approach-for-estimating-and-optimizing-6-gingero}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in different agro-climatic conditions — https://4ort.xyz/entity/mlp-multi-layer-perceptron-and-rbf-radial-basis-function-neural-network-approach-for-estimating-and-optimizing-6-gingero (retrieved 2026-05-24)
