Shuxiang Xu
Shuxiang Xu
School of Computing and Information Systems, University of Tasmania
Verified email at utas.edu.au - Homepage
TitleCited byYear
A novel approach for determining the optimal number of hidden layer neurons for FNN’s and its application in data mining
S Xu, L Chen
1382008
Neuron-adaptive higher order neural-network models for automated financial data modeling
M Zhang, S Xu, J Fulcher
IEEE Transactions on Neural Networks 13 (1), 188-204, 2002
1142002
Investigation and improvement of multi-layer perceptron neural networks for credit scoring
Z Zhao, S Xu, BH Kang, MMJ Kabir, Y Liu, R Wasinger
Expert Systems with Applications 42 (7), 3508-3516, 2015
812015
Application of higher-order neural networks to financial time-series prediction
J Fulcher, M Zhang, S Xu
Artificial neural networks in finance and manufacturing, 80-108, 2006
462006
Application of higher-order neural networks to financial time-series prediction
J Fulcher, M Zhang, S Xu
Artificial neural networks in finance and manufacturing, 80-108, 2006
462006
Data mining-an adaptive neural network model for financial analysis
S Xu, M Zhang
Third International Conference on Information Technology and Applications …, 2005
272005
A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules
MMJ Kabir, S Xu, BH Kang, Z Zhao
Expert Systems with Applications 74, 55-69, 2017
222017
Justification of a neuron-adaptive activation function
S Xu, M Zhang
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
212000
Adaptive higher order neural network models and their applications in business
S Xu
Artificial higher order neural networks for economics and business, 314-329, 2009
162009
Data mining using higher order neural network models with adaptive neuron activation functions
S Xu
International Journal of Advancements in Computing Technology 2 (4), 168-177, 2010
142010
ANSER: adaptive neuron artificial neural network system for estimating rainfall
M Zhang, S Xu, J Fulcher
International Journal of Computers and Applications 29 (3), 215-222, 2007
142007
A novel adaptive activation function
S Xu, M Zhang
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
142001
A new evolutionary algorithm for extracting a reduced set of interesting association rules
MMJ Kabir, S Xu, BH Kang, Z Zhao
International Conference on Neural Information Processing, 133-142, 2015
112015
Comparative analysis of genetic based approach and apriori algorithm for mining maximal frequent item sets
MMJ Kabir, S Xu, BH Kang, Z Zhao
2015 IEEE Congress on Evolutionary Computation (CEC), 39-45, 2015
112015
Neuron-adaptive higher order neural network group models
M Zhang, S Xu, B Lu
IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999
101999
Signal fusion-based deep fast random forest method for machine health assessment
N Yuan, W Yang, B Kang, S Xu, C Li
Journal of Manufacturing Systems 48, 1-8, 2018
92018
A Novel Approach to Mining Maximal Frequent Itemsets Based on Genetic Algorithm
MMJ Kabir, S Xu, BH Kang, Z Zhao
International Conference on Information Technology and Applications (ICITA), 2014
72014
Application of new adaptive higher order neural networks in data mining
S Xu, L Chen
2008 International Conference on Computer Science and Software Engineering 1 …, 2008
72008
Discovery of Interesting Association Rules Using Genetic Algorithm with Adaptive Mutation
MMJ Kabir, S Xu, BH Kang, Z Zhao
International Conference on Neural Information Processing, 96-105, 2015
62015
An adaptive activation function for higher order neural networks
S Xu, M Zhang
Australian Joint Conference on Artificial Intelligence, 356-362, 2002
62002
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Articles 1–20