Cargando…
Optimization of culture conditions for differentiation of melon based on artificial neural network and genetic algorithm
Artificial neural network is an efficient and accurate fitting method. It has the function of self-learning, which is particularly important for prediction, and it could take advantage of the computer’s high-speed computing capabilities and find the optimal solution quickly. In this paper, four cult...
Autores principales: | Zhang, Qiang, Deng, Dandan, Dai, Wenting, Li, Jixin, Jin, Xinwen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044330/ https://www.ncbi.nlm.nih.gov/pubmed/32103071 http://dx.doi.org/10.1038/s41598-020-60278-x |
Ejemplares similares
-
Calcium chloride and 1-methylcyclopropene treatments delay postharvest and reduce decay of New Queen melon
por: Zhang, Qiang, et al.
Publicado: (2019) -
Cellular neural networks: a genetic algorithm for parameters optimization in artificial vision applications
por: Taraglio, S, et al.
Publicado: (1997) -
Predicting Tooth Surface Loss Using Genetic Algorithms-Optimized Artificial Neural Networks
por: Al Haidan, Ali, et al.
Publicado: (2014) -
An integrated learning algorithm for early prediction of melon harvest
por: Qian, Chunyang, et al.
Publicado: (2022) -
Artificial Neural Network Modeling and Genetic Algorithm Multiobjective Optimization of Process of Drying-Assisted Walnut Breaking
por: Yang, Taoqing, et al.
Publicado: (2023)