Books on the topic 'Neural network model of identification'
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Liu, G. P. Multiobjective criteria for nonlinear model selection and identification with neural networks. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.
Find full textJanczak, Andrzej. Identification of Nonlinear Systems Using Neural Networks and Polynomial Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b98334.
Full textWasserman, Theodore, and Lori Drucker Wasserman. Therapy and the Neural Network Model. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26921-0.
Full textFortescue, Michael D. A neural network model of lexical organization. London: Continuum, 2011.
Find full textWasserman, Theodore, and Lori Wasserman. Motivation, Effort, and the Neural Network Model. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58724-6.
Full textA neural network model of lexical organization. London: Continuum Intl Pub Group, 2009.
Find full textNelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001.
Find full textLiu, G. P. Nonlinear Identification and Control: A Neural Network Approach. London: Springer London, 2001.
Find full textSchenkel, Markus E. Handwriting recognition using neural networks and hidden Markov models. Konstanz: Hartung-Gorre, 1995.
Find full textZhu, Q. M. Fast orthogonal identification of nonlinear stochastic models and radial basis function neural networks. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.
Find full textZapranis, Achilleas, and Apostolos-Paul N. Refenes. Principles of Neural Model Identification, Selection and Adequacy. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0559-6.
Full textIdentification of nonlinear systems using neural networks and polynomial models: A block-oriented approach. Berlin: Springer, 2004.
Find full textOuyang, Xiaohong. Neural network identification and control of electrical power steering systems. Wolverhampton: University of Wolverhampton, 2000.
Find full textJorgensen, Charles C. Development of a sensor coordinated kinematic model for neural network controller training. [Moffett Field, Calif.?]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.
Find full textTsang, K. M. A self growing binary tree neural network for the identification of multiclass systems. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1992.
Find full textZapranis, Achilleas. Principles of Neural Model Identification, Selection and Adequacy: With Applications to Financial Econometrics. London: Springer London, 1999.
Find full textDuyar, Ahmet. A failure diagnosis system based on a neural network classifier for the space shuttle main engine. [Washington, DC]: National Aeronautics and Space Administration, 1990.
Find full textD'Autrechy, C. Lynne. Autoplan: A self-processing network model for an extended blocks world planning environment. College Park, Md: University of Maryland, 1990.
Find full textD'Autrechy, C. Lynne. Autoplan: A self-processing network model for an extended blocks world planning environment. College Park, Md: University of Maryland, 1990.
Find full textZapranis, Achilleas, and Apostolos-Paul N. Refenes. Principles of Neural Model Identification, Selection and Adequacy: With Applications to Financial Econometrics (Perspectives in Neural Computing). Springer, 1999.
Find full textHans, Hellendoorn, and Driankov Dimiter, eds. Fuzzy model identification: Selected approaches. Berlin: Springer, 1997.
Find full text(Editor), Hans Hellendoorn, and Dimiter Driankov (Editor), eds. Fuzzy Model Identification: Selected Approaches. Springer, 1998.
Find full textWasserman, Theodore, and Lori Drucker Wasserman. Therapy and the Neural Network Model. Springer, 2019.
Find full textJer-Nan, Juang, Hyland David C, and Langley Research Center, eds. On neural networks in identification and control of dynamic systems. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.
Find full textHalperin, Janet Ruth Patricia *. A connectionist neural network model of aggression. 1990.
Find full textNelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models. Springer, 2000.
Find full textTiumentsev, Yury, and Mikhail Egorchev. Neural Network Modeling and Identification of Dynamical Systems. Elsevier Science & Technology, 2019.
Find full textNeural Network Modeling and Identification of Dynamical Systems. Elsevier, 2019. http://dx.doi.org/10.1016/c2017-0-02854-9.
Full textLee, Marcus T. H. A Bayesian neural network model of consumer choice. 2003.
Find full textŁawryńczuk, Maciej. Computationally Efficient Model Predictive Control Algorithms: A Neural Network Approach. Springer, 2016.
Find full textNonlinear Identification and Control: A Neural Network Approach (Advances in Industrial Control). Springer, 2001.
Find full textKashyap, Dr Nikita, Dr Dharmendra Kumar Singh, Dr Girish Kumar Singh, and Dr Arun Kumar Kashyap, eds. Identification of Diabetic Retinopathy Stages Using Modified DWT and Artificial Neural Network. AkiNik Publications, 2021. http://dx.doi.org/10.22271/ed.book.1314.
Full textJoseph, Downs, ed. Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks. Sheffield: University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1995.
Find full textYe, Julia X. An application of the feedforward neural network model in currency exchange rate forecasting. 1994.
Find full textIris Biometric Model for Secured Network Access. Taylor & Francis Inc, 2013.
Find full textPredicting Launch Pad Winds at the Kennedy Space Center With a Neural Network Model. Storming Media, 1999.
Find full textT, Bialasiewicz Jan, and Langley Research Center, eds. Neural network modeling of nonlinear systems based on Volterra series extension of a linear model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.
Find full textAl-Haddad, Luan Marie. Neural network techniques for the identification and classification of marine phytoplankton from flow cytometric data. 2001.
Find full textA, Reggia James, McFadden Francis M, University of Maryland at College Park., United States. National Aeronautics and Space Administration., and National Science Foundation (U.S.), eds. Autoplan: A self-processing network model for an extended blocks world planning environment. College Park, Md: University of Maryland, 1990.
Find full textMundy, Peter. A Neural Networks, Information-Processing Model of Joint Attention and Social-Cognitive Development. Edited by Philip David Zelazo. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199958474.013.0010.
Full textAshby, F. Gregory, and Fabian A. Soto. Multidimensional Signal Detection Theory. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.2.
Full textAnderson, James A. Brain Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0012.
Full textGabora, Liane. The Creative Process of Cultural Evolution. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190455675.003.0002.
Full textBarwich, Ann-Sophie. Measuring the World. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198779636.003.0017.
Full textKoch, Christof. Biophysics of Computation. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104912.001.0001.
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