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Nonlinear System Identification. From classical approaches to Neural Networks and Fuzzy Models

110,00

Hardcover. Ejemplar nuevo. NEW. The book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point of wiew, focusing on the intuitive understanding of the basic relationships. This is supported by many ilustrative figures. Advanced mathematics is avoided.

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  • Autor: Oliver Nelles
  • Estado del Libro: Nuevo
  • Tipo de Encuadernación: Tapa dura
  • Idioma: Español
  • Editor: Springer Verlag Publishers
  • Año de Publicación: 2001
  • Dinensión: 24x17. 785 pp.

Descripción

Hardcover. Ejemplar nuevo. NEW. The book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point of wiew, focusing on the intuitive understanding of the basic relationships. This is supported by many ilustrative figures. Advanced mathematics is avoided.

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