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        Neural networks training using the constructivism paradigms 

        Universidade Estadual Paulista (Unesp) (1995-12-01)
        The Backpropagation Algorithm (BA) is the standard method for training multilayer Artificial Neural Networks (ANN), although it converges very slowly and can stop in a local minimum. We present a new method for neural ...

        Neural networks training using the constructivism paradigms 

        Universidade Estadual Paulista (Unesp) (1995-12-01)
        The Backpropagation Algorithm (BA) is the standard method for training multilayer Artificial Neural Networks (ANN), although it converges very slowly and can stop in a local minimum. We present a new method for neural ...

        Neural networks training using the constructivism paradigms 

        Teixeira, Marcelo Carvalho Minhoto; Lamas, Decio (2014)

        Tracking Facial Expressions by Using Stereoscopy Video and Back Propagation Neural Network 

        Unknown author (Kathmandu University Journal of Science, Engineering and Technology, 2013-01-16)

        A fuzzy backpropagation algorithm 

        Stoeva, Stefka; Nikov, Alexander (2011-06-14)
        This paper presents an extension of the standard backpropagation algorithm (SBP). The proposed learning algorithm is based on the fuzzy integral of Sugeno and thus called fuzzy backpropagation (FBP) algorithm. Necessary ...

        Previsão de cargas elétricas através do backpropagation estocástico 

        Lopes, Mara Lucia Martins [UNESP]; Universidade Estadual Paulista (Unesp) (Universidade Estadual Paulista (Unesp), 2021-05-03)
        A previsão de cargas elétricas vem se tornando uma atividade fundamental para o funciona mento e operação dos sistemas elétricos de potência, visando fornecer energia elétrica aos con sumidores de maneira segura, eficaz e ...

        A fast electric load forecasting using adaptive neural networks 

        Universidade Estadual Paulista (Unesp) (2003-12-01)
        This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...

        A fast electric load forecasting using adaptive neural networks 

        Universidade Estadual Paulista (Unesp) (2003-12-01)
        This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...

        A fast electric load forecasting using adaptive neural networks 

        Lopes, M. L M; Lotufo, A. D P; Minussi, C. R. (2014)

        Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function 

        Universidade Estadual Paulista (Unesp) (Trans Tech Publications Ltd, 2011-01-01)
        In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function ...
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        Red de Repositorios Latinoamericanos
        + of 4.000.000
        Available publications
        163 Participating institutions
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Membership Login
        Featured collections
        • Latin American Theses
        • Argentinean Theses
        • Chilean Theses
        • Peruvian Theses
        Latest collections added
        • Argentina
        • Brazil
        • Colombia
        • México
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018