On connectionism and rule extraction
暂无分享,去创建一个
[1] Patrick K. Simpson,et al. Fuzzy min-max neural networks. I. Classification , 1992, IEEE Trans. Neural Networks.
[2] James L. McClelland,et al. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.
[3] C. Lee Giles,et al. Extraction, Insertion and Refinement of Symbolic Rules in Dynamically Driven Recurrent Neural Networks , 1993 .
[4] Vasant Honavar,et al. Integrating Symbol Processing Systems and Connectionist Networks , 1995 .
[5] James M. Keller,et al. Incorporating Fuzzy Membership Functions into the Perceptron Algorithm , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Asim Roy. Brain's internal mechanisms - a new paradigm , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[7] Stephen Grossberg,et al. Studies of mind and brain , 1982 .
[8] Bruno Apolloni,et al. From synapses to rules , 2002, Cognitive Systems Research.
[9] Michael C. Mozer,et al. Template-Based Algorithms for Connectionist Rule Extraction , 1994, NIPS.
[10] James L. McClelland. Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly , 1988, Cogn. Sci..
[11] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[12] Stephen Grossberg,et al. Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987, Cogn. Sci..
[13] Asim Roy,et al. A neural-network learning theory and a polynomial time RBF algorithm , 1997, IEEE Trans. Neural Networks.
[14] R. Shadmehr,et al. Neural correlates of motor memory consolidation. , 1997, Science.
[15] Kevin N. Gurney,et al. An introduction to neural networks , 2018 .
[16] Chin-Teng Lin,et al. Supervised and unsupervised learning with fuzzy similarity for neural-network-based fuzzy logic control systems , 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.
[17] Shigeo Abe,et al. Fuzzy rules extraction directly from numerical data for function approximation , 1995, IEEE Trans. Syst. Man Cybern..
[18] Paul Smolensky,et al. Connectionist modeling: Neural computation/mental connections. , 1989 .
[19] Ron Sun,et al. Integrating rules and connectionism for robust commonsense reasoning , 1994, Sixth-generation computer technology series.
[20] Stephen Grossberg,et al. Nonlinear neural networks: Principles, mechanisms, and architectures , 1988, Neural Networks.
[21] Joachim Diederich,et al. Survey and critique of techniques for extracting rules from trained artificial neural networks , 1995, Knowl. Based Syst..
[22] Somnath Mukhopadhyay,et al. Iterative generation of higher-order nets in polynomial time using linear programming , 1997, IEEE Trans. Neural Networks.
[23] P. K. Simpson. Fuzzy Min-Max Neural Networks-Part 1 : Classification , 1992 .
[24] Lotfi A. Zadeh,et al. Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..
[25] Lee A. Feldkamp,et al. Training a hybrid neural-fuzzy system , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
[26] S. Grossberg. Studies of mind and brain : neural principles of learning, perception, development, cognition, and motor control , 1982 .
[27] Madan M. Gupta,et al. On the principles of fuzzy neural networks , 1994 .
[28] Jude Shavlik,et al. THE EXTRACTION OF REFINED RULES FROM KNOWLEDGE BASED NEURAL NETWORKS , 1993 .
[29] Vasant Honavar,et al. Books-Received - Artificial Intelligence and Neural Networks - Steps Toward Principled Integration , 1994 .
[30] Geoffrey E. Hinton,et al. Connectionist Architectures for Artificial Intelligence , 1990, Computer.
[31] Jude W. Shavlik,et al. Using Sampling and Queries to Extract Rules from Trained Neural Networks , 1994, ICML.
[32] Sukhdev Khebbal,et al. Intelligent Hybrid Systems , 1994 .
[33] Bart Kosko,et al. Neural networks and fuzzy systems , 1998 .
[34] Ronald R. Yager,et al. Generalized Fuzzy and Matrix Associative Holographic Memories , 1993, J. Intell. Fuzzy Syst..
[35] Ah-Hwee Tan,et al. Rule Extraction: From Neural Architecture to Symbolic Representation , 1995 .
[36] Huan Liu,et al. Symbolic Representation of Neural Networks , 1996, Computer.
[37] Karl J. Friston,et al. Neural modeling and functional brain imaging: an overview , 2000, Neural Networks.
[38] Somnath Mukhopadhyay,et al. A polynomial time algorithm for the construction and training of a class of multilayer perceptrons , 1993, Neural Networks.
[39] Edward T. Lee,et al. Fuzzy Neural Networks , 1975 .
[40] Sankar K. Pal,et al. Multilayer perceptron, fuzzy sets, and classification , 1992, IEEE Trans. Neural Networks.
[41] Ronald R. Yager,et al. Fuzzy sets, neural networks, and soft computing , 1994 .
[42] Teuvo Kohonen,et al. Self-Organization and Associative Memory , 1988 .
[43] LiMin Fu,et al. Rule Generation from Neural Networks , 1994, IEEE Trans. Syst. Man Cybern. Syst..
[44] Helmut Prendinger,et al. Approximate Reasoning , 1997, EPIA.
[45] Huan Liu,et al. NeuroLinear: From neural networks to oblique decision rules , 1997, Neurocomputing.
[46] David E. Rumelhart,et al. The architecture of mind: a connectionist approach , 1989 .
[47] Giovanni Soda,et al. Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks , 1995, IEEE Trans. Knowl. Data Eng..
[48] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[49] Asim Roy,et al. On connectionism, rule extraction, and brain-like learning , 2000, IEEE Trans. Fuzzy Syst..
[50] Teuvo Kohonen,et al. An introduction to neural computing , 1988, Neural Networks.
[51] Jerome A. Feldman,et al. Connectionist Models and Their Properties , 1982, Cogn. Sci..
[52] Isao Hayashi,et al. NN-driven fuzzy reasoning , 1991, Int. J. Approx. Reason..
[53] Asim Roy,et al. An algorithm to generate radial basis function (RBF)-like nets for classification problems , 1995, Neural Networks.
[54] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.