A framework for improving localisation prediction algorithms. حسب Sven B. Gould (12237287)

Data and code resources. حسب Sam Hall-McMaster (10343795)

الموضوعات:

Flowchart of algorithm principles. حسب Wenjuan Zhou (115285)

الموضوعات:

Statistics of the predictive performance indicators of four different competitor algorithms. حسب Jin Wang (29560)

الموضوعات:

Algorithm flow of the GA-BPNN model. حسب Xiying Wang (4859998)

"…<div><p>This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm—Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. …"

Experiment Settings. حسب Jin Wang (29560)

الموضوعات:

Detailed information of the field experiments. حسب Yonghui Zhang (279832)

"…The RMSEs (MAEs, R²) between all observed data and simulated data based on MNSGA-II, GLUE and DE are 4.28 (3.53, 0.9445) days, 4.76 (4.05, 0.9438) days and 5.17 (4.85, 0.9336) days, respectively, with little difference among the three algorithms. …"

Algorithms runtime comparison. حسب Meilin Zhu (688698)

"…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"

Performance of algorithms outside the training species. حسب Sven B. Gould (12237287)

Satellite laser ranging experiment results. حسب Jinyu Wang (381467)

الموضوعات:

The GTO algorithm process. حسب Yulin Li (36434)

"…Subsequently, a BP neural network house price prediction model based on IGTO is constructed and experiments are conducted on four datasets, namely, Boston, California-Bay, California-Land and Taiwan. …"

Image 2_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.tif حسب Jiaming Wang (2637667)

"…The development of accurate predictive models for osteoporosis is beneficial in helping physicians improve the accuracy of clinical diagnosis and provide a high-quality treatment experience for older adults.</p>Method<p>In this study, a robust and accurate prediction model for osteoporosis was developed and validated based on machine learning and SHAP techniques. …"

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. حسب Boluwatife Ikwunne (22238697)

"…A few examples are illustrated by light green lines at κ = 0.5; 1.25 and 2.5. Parameter values smaller than 0.25 could allow prediction errors to be converted to learning rates even more steeply.…"

CY45-0.5/1#9 Code file for data processing and prediction results. حسب Yanhua Xian (21417128)

Statistics of the predictive performance indicators of the two models. حسب Jin Wang (29560)

الموضوعات:

Solution results of different algorithms. حسب Meilin Zhu (688698)

"…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"

, MSE, and MAE of the optimised algorithms. حسب Itxasne Antúnez Sáenz (22794696)

The control results in Experiment 2. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms حسب Guangyin Jia (21075537)

"…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …"

The speed curves of forward and reverse experiment by use of scheme 2. حسب Taochang Li (20642935)