Cargando…
Evaluation Models for Soil Nutrient Based on Support Vector Machine and Artificial Neural Networks
Soil nutrient is an important aspect that contributes to the soil fertility and environmental effects. Traditional evaluation approaches of soil nutrient are quite hard to operate, making great difficulties in practical applications. In this paper, we present a series of comprehensive evaluation mod...
Autores principales: | Li, Hao, Leng, Weijia, Zhou, Yibing, Chen, Fudi, Xiu, Zhilong, Yang, Dazuo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273551/ https://www.ncbi.nlm.nih.gov/pubmed/25548781 http://dx.doi.org/10.1155/2014/478569 |
Ejemplares similares
-
A cross-sectional evaluation of meditation experience on electroencephalography data by artificial neural network and support vector machine classifiers
por: Lee, Yu-Hao, et al.
Publicado: (2017) -
Application of Artificial Neural Network and Support Vector Machines in Predicting Metabolizable Energy in Compound Feeds for Pigs
por: Ahmadi, Hamed, et al.
Publicado: (2017) -
EEG signal analysis using classification techniques: Logistic regression, artificial neural networks, support vector machines, and convolutional neural networks
por: Guerrero, Maria Camila, et al.
Publicado: (2021) -
Diagnosis of Coronary Artery Disease based on Machine Learning algorithms Support Vector Machine, Artificial Neural Network, and Random Forest
por: Saeedbakhsh, Saeed, et al.
Publicado: (2023) -
Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer
por: Gutiérrez, Salvador, et al.
Publicado: (2015)