Daniel S. Yeung – författare
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6 produkter
Soft Computing in Case Based Reasoning
Av Daniel S. Yeung, Tharam S. Dillon m. fl.
E-bok, 2012
1209 kr
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Soft Computing in Case Based Reasoning demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning for real-life decision-making or recognition problems. Comprising contributions from experts from all over the world, it: - …
Advances in Machine Learning and Cybernetics
4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers
Av Daniel S. Yeung, Zhi-Qiang Liu m. fl.
Häftad, 2006
1692 kr
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Machine learning and cybernetics play an important role in many modern electronic, computer and communications systems. Automated processing of information by these systems requires intelligent analysis of various types of data and optimal decision making. In recent years, we have witnessed a rapid …
Advances in Machine Learning and Cybernetics
4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers
Av Hong Yan, Xi-Zhao Wang m. fl.
E-bok, 2006
2110 kr
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Machine learning and cybernetics play an important role in many modern electronic, computer and communications systems. Automated processing of information by these systems requires intelligent analysis of various types of data and optimal decision making. In recent years, we have witnessed a rapid …
Sensitivity Analysis for Neural Networks
Av Daniel S. Yeung, Ian Cloete m. fl.
Inbunden, 2009
1098 kr
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Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing …
Sensitivity Analysis for Neural Networks
Av Wing W. Y. Ng, Daming Shi m. fl.
E-bok, 2009
1427 kr
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Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing …
Sensitivity Analysis for Neural Networks
Av Daniel S. Yeung, Ian Cloete m. fl.
Häftad, 2012
1098 kr
Lägg i varukorg
Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing …
