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A Comparative Study between Artificial Neural Networks and Adaptive Neuro-fuzzy Inference Systems for Modeling Energy Consumption in Greenhouse Tomato Production- A Case Study in Isfahan Province

Research article (Journal of Agricultural Science and Technology, 2015) · cited 33× · AI/ML
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A Comparative Study between Artificial Neural Networks and Adaptive Neuro-fuzzy Inference Systems for Modeling Energy Consumption in Greenhouse Tomato Production- A Case Study in Isfahan Province

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A Comparative Study between Artificial Neural Networks and Adaptive Neuro-fuzzy Inference Systems for Modeling Energy Consumption in Greenhouse Tomato Production- A Case Study in Isfahan Province is a scholarly article[1].

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  • A Comparative Study between Artificial Neural Networks and Adaptive Neuro-fuzzy Inference Systems for Modeling Energy Consumption in Greenhouse Tomato Production- A Case Study in Isfahan Province's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A Comparative Study between Artificial Neural Networks and Adaptive Neuro-fuzzy Inference Systems for Modeling Energy Consumption in Greenhouse Tomato Production- A Case Study in Isfahan Province. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-between-artificial-neural-networks-and-adaptive-neuro-fuzzy-inference-systems-for-modeling-energy-co
MLA “A Comparative Study between Artificial Neural Networks and Adaptive Neuro-fuzzy Inference Systems for Modeling Energy Consumption in Greenhouse Tomato Production- A Case Study in Isfahan Province.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-between-artificial-neural-networks-and-adaptive-neuro-fuzzy-inference-systems-for-modeling-energy-co.
BibTeX @misc{4ortxyz_a-comparative-study-between-artificial-neural-networks-and-adaptive-neuro-fuzzy-inference-systems-for-modeling-energy-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Comparative Study between Artificial Neural Networks and Adaptive Neuro-fuzzy Inference Systems for Modeling Energy Consumption in Greenhouse Tomato Production- A Case Study in Isfahan Province}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-between-artificial-neural-networks-and-adaptive-neuro-fuzzy-inference-systems-for-modeling-energy-co}, note = {Accessed: 2026-05-24}}
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