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Computational Intelligence in Cancer Diagnosis
Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. The book's chapters are writt...
2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)
Artificial Intelligence algorithms, architectures and techniques using symbolic, analytical and mathematical modelling and simulation of wide application areas within computing science, technology and systems engineering emphasizing the role of artificially created intelligent behavior using hybrid intelligent techniques and soft computing
UKSIM 2003
None
8th ICCMS
None
2015 Seventh International Conference on Computational Intelligence, Modelling and Simulation (CIMSim)
The development and application of mathematical modelling and computer simulation techniques for computational intelligence algorithms and their applications in all areas relevant to engineering, science, technology, business, management and industry
2017 UKSim AMSS 19th International Conference on Computer Modelling and Simulation (UKSim)
mathematical modelling and computer simulation of wide application areas within computing science, technology and systems engineering emphasizing the role of intelligent system, hybrid intelligent systems and soft computing
2014 5th International Conference on Intelligent Systems, Modelling and Simulation (ISMS)
Intelligent systems algorithms and techniques using analytical and mathematical modelling and simulation of wide application areas within computing science, technology and systems engineering emphasising the role of intelligent system, hybrid intelligent systems and soft computing
