On the Computational Power of Neural Nets
暂无分享,去创建一个
[1] Eduardo D. Sontag,et al. Mathematical control theory: deterministic systems , 1990 .
[2] J. R. Brown,et al. Artificial neural network on a SIMD architecture , 1988, Proceedings., 2nd Symposium on the Frontiers of Massively Parallel Computation.
[3] C. Lee Giles,et al. Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks , 1992, Neural Computation.
[4] Georg Schnitger,et al. On the computational power of sigmoid versus Boolean threshold circuits , 1991, [1991] Proceedings 32nd Annual Symposium of Foundations of Computer Science.
[5] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[6] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[7] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[8] Y. C. Lee,et al. Turing equivalence of neural networks with second order connection weights , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[9] W. Pitts,et al. A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.
[10] S. Smale,et al. On a theory of computation and complexity over the real numbers; np-completeness , 1989 .
[11] Noga Alon,et al. Efficient simulation of finite automata by neural nets , 1991, JACM.
[12] R. Westervelt,et al. Dynamics of iterated-map neural networks. , 1989, Physical review. A, General physics.
[13] Jean Berstel,et al. Rational series and their languages , 1988, EATCS monographs on theoretical computer science.
[14] J. Doug Tygar,et al. The computability and complexity of optical beam tracing , 1990, Proceedings [1990] 31st Annual Symposium on Foundations of Computer Science.
[15] James L. McClelland,et al. Finite State Automata and Simple Recurrent Networks , 1989, Neural Computation.
[16] Jeffrey D. Ullman,et al. Introduction to Automata Theory, Languages and Computation , 1979 .
[17] M. B. Pour-El,et al. Abstract computability and its relation to the general purpose analog computer (some connections between logic, differential equations and analog computers) , 1974 .
[18] Roy Batruni,et al. A multilayer neural network with piecewise-linear structure and back-propagation learning , 1991, IEEE Trans. Neural Networks.
[19] Eduardo D. Sontag,et al. Feedforward Nets for Interpolation and Classification , 1992, J. Comput. Syst. Sci..
[20] Bo Zhang,et al. A quantitative analysis of the behaviors of the PLN network , 1992, Neural Networks.
[21] Hava T. Siegelmann,et al. Analog computation via neural networks , 1993, [1993] The 2nd Israel Symposium on Theory and Computing Systems.
[22] S. Franklin,et al. Neural computability. II , 1989, International 1989 Joint Conference on Neural Networks.