16
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Application of neural networks to modelling nonlinear relationships in ecology

      , , , , ,
      Ecological Modelling
      Elsevier BV

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references20

          • Record: found
          • Abstract: not found
          • Article: not found

          Multilayer feedforward networks are universal approximators

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Identification and control of dynamical systems using neural networks.

            It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Phoneme recognition using time-delay neural networks

                Bookmark

                Author and article information

                Journal
                Ecological Modelling
                Ecological Modelling
                Elsevier BV
                03043800
                September 1996
                September 1996
                : 90
                : 1
                : 39-52
                Article
                10.1016/0304-3800(95)00142-5
                491dd6f7-1fb6-40a1-a7e3-1a1c509f9838
                © 1996

                http://www.elsevier.com/tdm/userlicense/1.0/

                History

                Comments

                Comment on this article