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Machine learning and Multi-Layer Perceptron (MLP) modeling of Zea Mays L. responses to tillage and soil amendments

Publish place: Journal of Computer and Robotics، Vol: 17، Issue: 2

Publish Year: 1402

نوع سند: مقاله ژورنالی

زبان: English

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https://civilica.com/doc/2078590

شناسه ملی سند علمی:

JR_JCR-17-2_006

تاریخ نمایه سازی: 2 مهر 1403

Keywords:

Classification , Machine learning , Model accuracy , Multi-Layer Perceptron , Soil amendments , Tillage

Authors

Islamic Azad University, Isfahan branch

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من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

https://civilica.com/doc/2078590

شناسه ملی سند علمی:

JR_JCR-17-2_006

تاریخ نمایه سازی: 2 مهر 1403

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:

Ahmadi, Iman,1402,Machine learning and Multi-Layer Perceptron (MLP) modeling of Zea Mays L. responses to tillage and soil amendments,https://civilica.com/doc/2078590

Scientometrics

The specifications of the publisher center of this Paper are as follows:

Ranking of Islamic Azad University of Isfahan

Type of center: Azad University

Paper count: 16,795

In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.