Qualitative Analysis And Synthesis Of Recurrent Neural Networks


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Qualitative Analysis and Synthesis of Recurrent Neural Networks


Qualitative Analysis and Synthesis of Recurrent Neural Networks

Author: Anthony Michel

language: en

Publisher: CRC Press

Release Date: 2001-12-04


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"Analyzes the behavior, design, and implementation of artificial recurrent neural networks. Offers methods of synthesis for associative memories. Evaluates the qualitative properties and limitations of neural networks. Contains practical applications for optimal system performance."

Qualitative Analysis and Control of Complex Neural Networks with Delays


Qualitative Analysis and Control of Complex Neural Networks with Delays

Author: Zhanshan Wang

language: en

Publisher: Springer

Release Date: 2015-07-18


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This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.

Neural Network Modeling and Identification of Dynamical Systems


Neural Network Modeling and Identification of Dynamical Systems

Author: Yury Tiumentsev

language: en

Publisher: Academic Press

Release Date: 2019-05-17


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Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. - Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training - Offers application examples of dynamic neural network technologies, primarily related to aircraft - Provides an overview of recent achievements and future needs in this area