Soft Computing in Data Science: Second International Conference, SCDS 2016, Kuala Lumpur, Malaysia, September 21-22, 2016, Proceedings - Info and Reading Options

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Intro -- Preface -- Conference Organization -- Contents -- Artificial Neural Networks -- Shallow Network Performance in an Increasing Image Dimension -- Abstract -- 1 Introduction -- 1.1 Overview of Neural Network -- 1.2 Shallow Network -- 2 Challenges in Data Preparation -- 2.1 Formatting the Data Sampling -- 2.2 Designing the Network Architecture -- 2.3 MNIST as Additional Data Sampling -- 2.4 Related Works That Uses MNIST as Data -- 3 Results -- 3.1 Result of First Experiments -- 3.2 Result of the Second Shallow Network -- 3.3 MNIST Experimental Results -- 4 Conclusion -- References -- Applied Neural Network Model to Search for Target Credit Card Customers -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Credit Card Business in Taiwan -- 2.2 A Brief Introduction of the Neural Network -- 2.3 Related Works -- 3 Methodology -- 3.1 Defining Target Customers -- 3.2 Collecting and Classifying Eigenvalues of Data -- 3.3 Data Preprocessing -- 3.4 Selecting Neural Model and Parameters -- 3.5 Choosing Data Eigenvalues with High Discriminability -- 4 Result -- 5 Conclusions -- References -- Selection Probe of EEG Using Dynamic Graph of Autocatalytic Set (ACS) -- Abstract -- 1 Introduction -- 2 Graph and Autocatalytic Set -- 3 Brain Neuron -- 4 System Dynamic Variable Selection (SDVS) -- 5 Result and Discussion -- 6 Conclusion -- Acknowledgment -- References -- A Comparison of BPNN, RBF, and ENN in Number Plate Recognition -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Image Acquisition -- 2.2 Car Plate Localization -- 2.3 Character Detection and Segmentation -- 2.4 Recognition Algorithms -- 3 Experimental Setup -- 4 Results and Discussions -- 4.1 Pre-processing, Segmentation, and Thinning Phases -- 4.2 Recognition Phase -- 5 Conclusions and Future Works -- References

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