Her main research concerns Mathematical optimization, Differential evolution, Echo state network, Data mining and Artificial neural network. In the field of Mathematical optimization, her study on Optimization problem and Particle swarm optimization overlaps with subjects such as Electricity generation. Differential evolution and Consumption are two areas of study in which Lin Wang engages in interdisciplinary work.
Lin Wang has included themes like Multivariate statistics and Robustness in her Echo state network study. The various areas that Lin Wang examines in her Data mining study include Global optimization and Pattern recognition. Her work on Differential evolution algorithm and Back propagation neural network as part of general Artificial intelligence research is frequently linked to Point and Set, thereby connecting diverse disciplines of science.
Lin Wang focuses on Mathematical optimization, Artificial neural network, Artificial intelligence, Differential evolution and Joint. In her work, Supply chain is strongly intertwined with Benchmark, which is a subfield of Mathematical optimization. Her Artificial neural network research integrates issues from Spare part, Holding cost and Inventory control.
Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Data mining. Her research on Differential evolution concerns the broader Algorithm. Her research investigates the connection between Joint and topics such as Differential evolution algorithm that intersect with problems in Evolutionary algorithm.
Her primary areas of investigation include Mathematical optimization, Artificial intelligence, Echo state network, Differential evolution and Deep learning. Her study ties her expertise on Artificial neural network together with the subject of Mathematical optimization. As a member of one scientific family, Lin Wang mostly works in the field of Echo state network, focusing on Mean absolute percentage error and, on occasion, Price prediction.
Her study looks at the intersection of Differential evolution and topics like Joint with Travelling salesman problem and Optimization problem. Her work in Deep learning addresses subjects such as Data mining, which are connected to disciplines such as Convolutional neural network. Her Algorithm study deals with Time series intersecting with Computational intelligence.
Lin Wang mostly deals with Mathematical optimization, Energy consumption, Optimization algorithm, Differential evolution and Echo state network. Her study on Energy consumption is intertwined with other disciplines of science such as Algorithm, Symmetric mean absolute percentage error, Long short term memory, Handwriting recognition and Time series. Her studies in Optimization algorithm integrate themes in fields like Genetic algorithm, Backtracking and Joint.
Lin Wang regularly links together related areas like Stability in her Differential evolution studies. Her Echo state network study is concerned with the larger field of Artificial intelligence. In her work, Lin Wang performs multidisciplinary research in Reliability and Artificial neural network.
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Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
Lin Wang;Yi Zeng;Tao Chen.
Expert Systems With Applications (2015)
Health information privacy concerns, antecedents, and information disclosure intention in online health communities
Xing Zhang;Shan Liu;Xing Chen;Lin Wang.
Information & Management (2017)
Effective long short-term memory with differential evolution algorithm for electricity price prediction
Lu Peng;Shan Liu;Rui Liu;Lin Wang.
Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network
Yu-Rong Zeng;Yu-Rong Zeng;Yi Zeng;Beomjin Choi;Lin Wang.
An improved fruit fly optimization algorithm and its application to joint replenishment problems
Lin Wang;Yuanlong Shi;Shan Liu.
Expert Systems With Applications (2015)
Understanding the impact of risks on performance in internal and outsourced information technology projects: The role of strategic importance
Shan Liu;Lin Wang.
International Journal of Project Management (2014)
Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index
Shaowen Li;Tao Chen;Lin Wang;Chenghan Ming.
Tourism Management (2018)
An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm
Lin Wang;Zhigang Wang;Shan Liu.
Expert Systems With Applications (2016)
Optimal Forecast Combination Based on Neural Networks for Time Series Forecasting
Lin Wang;Zhigang Wang;Hui Qu;Shan Liu.
Applied Soft Computing (2018)
Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm
Lin Wang;Huanling Hu;Xue-Yi Ai;Hua Liu.
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