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Evolving Neural Networks in Classification

Evolving Neural Networks in Classification. Sunghwan Sohn. Education. Ph.D. Candidate, Engineering Management M.S., Computer Engineering B.E., Electronics Engineering. Experience. Research Assistant in Smart Engineering Systems Lab Developing Evolving Neural Networks in Data Mining

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Evolving Neural Networks in Classification

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  1. Evolving Neural Networks in Classification Sunghwan Sohn

  2. Education • Ph.D. Candidate, Engineering Management • M.S., Computer Engineering • B.E., Electronics Engineering

  3. Experience • Research Assistant in Smart Engineering Systems Lab • Developing Evolving Neural Networks in Data Mining • Research Assistant in Computational Intelligence Lab • Developed Automatic White Blood Cell Classification System

  4. Research • Objective: To develop a hybrid intelligent system – Evolving Neural Networks (ENNs) – that can be used in data mining, especially in classification problems.

  5. Research (ENNs) • Employs computational intelligence methodologies • Neural Networks & Genetic Algorithms • Genetic algorithms have been applied to automatic generation of neural networks • Feature selection • Adaptable topology • Customized tasks • Ensemble method

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