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2018 | OriginalPaper | Buchkapitel

1. An Introduction

verfasst von : Paolo Massimo Buscema, Giulia Massini, Marco Breda, Weldon A. Lodwick, Francis Newman, Masoud Asadi-Zeydabadi

Erschienen in: Artificial Adaptive Systems Using Auto Contractive Maps

Verlag: Springer International Publishing

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Abstract

Auto-Contractive Maps (Auto-CM) is a newer approach to artificial adaptive systems (AASs). In turn, AASs encompass the subject of artificial neural networks (ANNs). This chapter is an introduction to AASs.

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Literatur
1.
Zurück zum Zitat Buscema, M., William J. Tastle. 2013. Data Mining Applications Using Artificial Adaptive Systems, Springer. Buscema, M., William J. Tastle. 2013. Data Mining Applications Using Artificial Adaptive Systems, Springer.
2.
Zurück zum Zitat Swanson, R., and S.M. Swanson. 1993. The Effect of Noise on Entropy. Acta Crystallographica. Section D, Biological Crystallography 49 (Pt 1): 182–185.CrossRefMATH Swanson, R., and S.M. Swanson. 1993. The Effect of Noise on Entropy. Acta Crystallographica. Section D, Biological Crystallography 49 (Pt 1): 182–185.CrossRefMATH
Zurück zum Zitat Anderson J.A., and E. Rosenfeld (eds.). 1988. Neurocomputing Foundations of Research, Cambridge, MA: The MIT Press. Anderson J.A., and E. Rosenfeld (eds.). 1988. Neurocomputing Foundations of Research, Cambridge, MA: The MIT Press.
Zurück zum Zitat Arbib, M.A. (ed.). 1995. The Handbook of Brain Theory and Neural Networks, A Bradford Book. Cambridge, Massachusetts, London, England: The MIT Press. Arbib, M.A. (ed.). 1995. The Handbook of Brain Theory and Neural Networks, A Bradford Book. Cambridge, Massachusetts, London, England: The MIT Press.
Zurück zum Zitat Bengio, Y. 2009. Learning Deep Architectures for AI. Machine Learning 2 (1): 1–127. Bengio, Y. 2009. Learning Deep Architectures for AI. Machine Learning 2 (1): 1–127.
Zurück zum Zitat Buscema, M. 1998. Artificial Neural Networks and Complex Social Systems. In Substance Use & Misuse, vol. 33(1): Theory, vol. 33(2): Models, vol. 33(3): Applications, New York: Marcel Dekker. Buscema, M. 1998. Artificial Neural Networks and Complex Social Systems. In Substance Use & Misuse, vol. 33(1): Theory, vol. 33(2): Models, vol. 33(3): Applications, New York: Marcel Dekker.
Zurück zum Zitat Buscema, M. 1999. Semeion Group. In Reti Neurali Artificiali e Sistemi Sociali Complessi, vol. I: Teoria e Modelli, vol. II: Applicazioni, Franco Angeli, Milano. Buscema, M. 1999. Semeion Group. In Reti Neurali Artificiali e Sistemi Sociali Complessi, vol. I: Teoria e Modelli, vol. II: Applicazioni, Franco Angeli, Milano.
Zurück zum Zitat Carpenter, G.A., and S. Grossberg. 1991. Pattern Recognition by Self-Organizing Neural Network. Cambridge, MA: MIT Press. Carpenter, G.A., and S. Grossberg. 1991. Pattern Recognition by Self-Organizing Neural Network. Cambridge, MA: MIT Press.
Zurück zum Zitat Grossberg, S. 1978. How Does the Brain Build a Cognitive Code? Psychological Rewiew 87. Grossberg, S. 1978. How Does the Brain Build a Cognitive Code? Psychological Rewiew 87.
Zurück zum Zitat Hinton, G.E., S. Osindero, and Y-W. Teh. 2006. A Fast Learning Algorithm for Deep Belief Nets. Neural Computation 18 (7): 1527–1554 (MIT Press Journal). Hinton, G.E., S. Osindero, and Y-W. Teh. 2006. A Fast Learning Algorithm for Deep Belief Nets. Neural Computation 18 (7): 1527–1554 (MIT Press Journal).
Zurück zum Zitat Hinton, G.E., and R.R. Salakhutdinov. 2006. Reducing the Dimensionality of Data with Neural Networks. Science 313: 504–507. Hinton, G.E., and R.R. Salakhutdinov. 2006. Reducing the Dimensionality of Data with Neural Networks. Science 313: 504–507.
Zurück zum Zitat Hopfield, J.J. 1987. Neural Networks and Physical Systems with Emergent Collective Computational Abilities. In Proceedings of the National Academy of Sciences 79, in Anderson 1988. Hopfield, J.J. 1987. Neural Networks and Physical Systems with Emergent Collective Computational Abilities. In Proceedings of the National Academy of Sciences 79, in Anderson 1988.
Zurück zum Zitat Hopfield, J.J. 1984. Neurons with Graded Response have Collective Computational Properties Like Those of Two-State Neurons. In Proceedings of the National Academy of Sciences USA, Bioscience, 81. Hopfield, J.J. 1984. Neurons with Graded Response have Collective Computational Properties Like Those of Two-State Neurons. In Proceedings of the National Academy of Sciences USA, Bioscience, 81.
Zurück zum Zitat Hopfield, J.J., and D.W. Tank. 1985. Neural Computation of Decisions in Optimization Problems. Biological Cybernetics 52. Hopfield, J.J., and D.W. Tank. 1985. Neural Computation of Decisions in Optimization Problems. Biological Cybernetics 52.
Zurück zum Zitat Hopfield, J.J., and D.W. Tank. 1986. Computing with Neural Circuits: A Model. Articles Science 233: 8. Hopfield, J.J., and D.W. Tank. 1986. Computing with Neural Circuits: A Model. Articles Science 233: 8.
Zurück zum Zitat Kohonen T. 1972. Correlation Matrix Memories. IEEE Transactions on Computers C-21, in Anderson 1988. Kohonen T. 1972. Correlation Matrix Memories. IEEE Transactions on Computers C-21, in Anderson 1988.
Zurück zum Zitat Larochelle, H., and Y. Bengio. 2008. Classification using Discriminative Restricted Boltzmann Machines. In Proceedings of the 25-th International Conference on Machine Learning, Helsinki, Finland. Larochelle, H., and Y. Bengio. 2008. Classification using Discriminative Restricted Boltzmann Machines. In Proceedings of the 25-th International Conference on Machine Learning, Helsinki, Finland.
Zurück zum Zitat Le, Q.V., M.C. Ranzato, R. Monga, M. Devin, K. Chen, G.S. Corrado, J. Dean, and A.Y. Ng. 2012. Building High-level Features Using Large Scale Unsupervised Learning, In Proceedings of the 29-th International Conference on Machine Learning, Edinburgh, Scotland, UK. Le, Q.V., M.C. Ranzato, R. Monga, M. Devin, K. Chen, G.S. Corrado, J. Dean, and A.Y. Ng. 2012. Building High-level Features Using Large Scale Unsupervised Learning, In Proceedings of the 29-th International Conference on Machine Learning, Edinburgh, Scotland, UK.
Zurück zum Zitat Maturana, H., and F. Varela. 1980. Autopoiesis and Cognition: The Realization of the Living, Springer Science. Maturana, H., and F. Varela. 1980. Autopoiesis and Cognition: The Realization of the Living, Springer Science.
Zurück zum Zitat Minsky M. 1954. Neural Nets and the Brain-Model Problem, Doctoral dissertation, Princeton University. Minsky M. 1954. Neural Nets and the Brain-Model Problem, Doctoral dissertation, Princeton University.
Zurück zum Zitat Minsky, M., and S. Papert. 1988. Perceptrons, extended ed. Cambridge, MA: The MIT Press. Minsky, M., and S. Papert. 1988. Perceptrons, extended ed. Cambridge, MA: The MIT Press.
Zurück zum Zitat Raiko, T., H. Valpola, and Y. LeCun. 2012. Deep Learning Made Easier by Linear Transformations in Perceptrons. In Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, vol. XX of JMLR:W and CP XXLa, Canary Islands: Palma. Raiko, T., H. Valpola, and Y. LeCun. 2012. Deep Learning Made Easier by Linear Transformations in Perceptrons. In Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, vol. XX of JMLR:W and CP XXLa, Canary Islands: Palma.
Zurück zum Zitat Raina, R., A. Madhavan, and A.Y. Ng. 2009. Large-Scale Deep Unsupervised Learning using Graphics Processors. In Proceedings of the 26th International Conference on Machine Learning, Montreal, Canada. Raina, R., A. Madhavan, and A.Y. Ng. 2009. Large-Scale Deep Unsupervised Learning using Graphics Processors. In Proceedings of the 26th International Conference on Machine Learning, Montreal, Canada.
Zurück zum Zitat Reetz, B. 1993. Greedy Solution to the Travelling Sales Person Problem. ATD 2. Reetz, B. 1993. Greedy Solution to the Travelling Sales Person Problem. ATD 2.
Zurück zum Zitat Rosenblatt, F. 1962. Principles of Neurodynamics. N.Y.: Spartan. Rosenblatt, F. 1962. Principles of Neurodynamics. N.Y.: Spartan.
Zurück zum Zitat Rumelhart D.E., J. L. Mcclelland (eds.). 1986. Parallel Distributed Processing, vol. 1 Foundations, Explorations in the Microstructure of Cognition, vol. 2 Psychological and Biological Models. Cambridge, MA, London, England: The MIT Press. Rumelhart D.E., J. L. Mcclelland (eds.). 1986. Parallel Distributed Processing, vol. 1 Foundations, Explorations in the Microstructure of Cognition, vol. 2 Psychological and Biological Models. Cambridge, MA, London, England: The MIT Press.
Zurück zum Zitat Werbos, P. 1974. Beyond Regression: New Tools for Prediction and Analysis in Behavioral Sciences, PhD thesis, Cambridge, MA: Harvard. Werbos, P. 1974. Beyond Regression: New Tools for Prediction and Analysis in Behavioral Sciences, PhD thesis, Cambridge, MA: Harvard.
Metadaten
Titel
An Introduction
verfasst von
Paolo Massimo Buscema
Giulia Massini
Marco Breda
Weldon A. Lodwick
Francis Newman
Masoud Asadi-Zeydabadi
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-75049-1_1

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