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The LNCS volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014.   The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research, with particular focus on analysis, modeling, and applications.

Computer science. --- Algorithms. --- Data mining. --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Neural networks (Computer science). --- Computer Science. --- Pattern Recognition. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence (incl. Robotics). --- Image Processing and Computer Vision. --- Algorithm Analysis and Problem Complexity. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Optical pattern recognition. --- Computer vision. --- Computer software. --- Artificial Intelligence. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Software, Computer --- Computer systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Neural networks (Computer science) --- Optical data processing. --- Neural networks (Computer science) . --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Natural computation --- Soft computing --- Algorism --- Algebra --- Arithmetic --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Foundations --- Optical equipment --- Pattern recognition systems. --- Automated Pattern Recognition. --- Computer Vision. --- Pattern classification systems --- Pattern recognition computers --- Computer vision