Evolving Intelligent Systems

<p>From theory to techniques, the first all-in-one resource for EIS</p> <p>There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications. <ul> <li><p>Explains the following fundamental approaches for developing evolving intelligent systems (EIS):</li> <ul> <li> the Hierarchical Prioritized Structure</li> <li> <p>the Participatory Learning Paradigm</li> <li> <p>the Evolving Takagi-Sugeno fuzzy systems (eTS+)</li> <li> <p>the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm</li> </ul> <li><p>Emphasizes the importance and increased interest in online processing of data streams </li> <li><p>Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation</li> <li><p>Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems</li> <li><p>Introduces an integrated approach to incremental (real-time) feature extraction and classification</li> <li><p>Proposes a study on the stability of evolving neuro-fuzzy recurrent networks</li> <li><p>Details methodologies for evolving clustering and classification</li> <li><p>Reveals different applications of EIS to address real problems in areas of:</li> <ul> <li> <p>evolving inferential sensors in chemical and petrochemical industry</li> <li> <p>learning and recognition in robotics</li> </ul> <li><p>Features downloadable software resources </li> </ul> <p>Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals.