| The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and Societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its sub series LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes - Proceedings（published in time for the respective conference） - Post-proceedings（consisting of thoroughly revised final full papers） -research monographs（which may be based on outstanding PhD work, research projects, technical reports, etc.）. |
| Mathematical and Theoretical Methods Evolutionary computation Neurocomputational Inspired Models Learning and Adaptation Radial Basic Functions Structures Self-organizing Networks and Methods Support Vector Machines Cellular Neural Networks Hybrid Systems Neuroengineering and Hardware Implementations Pattern Recognition Perception and Robotics Applications on Data Analysis and Preprocessing Applications on Data Mining Applications on Signal Processing Applications on Image Processing Applications on Forecasting APPlications on Independent Component Analysis and Blind Source Separation Applications on Power Systems Other Applications Author Index |
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