Prediction of dissolved oxygen in aquaculture based on gradient boosting decision tree and long short-term memory network: A study of Chang Zhou fishery …
J Huan, H Li, M Li, B Chen - Computers and Electronics in Agriculture, 2020 - Elsevier
In order to further improve the prediction accuracy of dissolved oxygen (DO) in aquaculture,
a prediction model of DO is proposed by combining the gradient boosting decision tree …
a prediction model of DO is proposed by combining the gradient boosting decision tree …
[HTML][HTML] LSTM neural network based forecasting model for wheat production in Pakistan
Pakistan's economy is largely driven by agriculture, and wheat, mostly, stands out as its
second most produced crop every year. On the other hand, the average consumption of …
second most produced crop every year. On the other hand, the average consumption of …
基于改进长短时记忆神经网络的水产养殖溶解氧预测模型.
曹守启， 周礼馨， 张铮 - … of the Chinese Society of Agricultural …, 2021 - search.ebscohost.com
为了精确预测水产养殖溶解氧变化趋势, 本研究提出了基于K-means 聚类和改进粒子群(
Improved Particle Swarm Optimization, IPSO) 优化的长短时记忆(Long Short-term Memory …
Improved Particle Swarm Optimization, IPSO) 优化的长短时记忆(Long Short-term Memory …