Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfield NN
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[1] Y. Pomeau,et al. Intermittent transition to turbulence in dissipative dynamical systems , 1980 .
[2] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[3] Christopher G. Langton,et al. Computation at the edge of chaos: Phase transitions and emergent computation , 1990 .
[4] S. E. Karisch,et al. QAPLIB-A quadratic assignment problem library , 1991 .
[5] Hayakawa,et al. Effects of the chaotic noise on the performance of a neural network model for optimization problems. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[6] Franz Rendl,et al. QAPLIB – A Quadratic Assignment Problem Library , 1997, J. Glob. Optim..
[7] H. Dedieu. Overview of nonlinear noise reduction algorithms for systems with known dynamics , 1998 .
[8] Gianluca Mazzini,et al. A tensor approach to higher order expectations of quantized chaotic trajectories. I. General theory and specialization to piecewise affine Markov systems , 2000 .
[9] Gianluca Mazzini,et al. Tensor function analysis of quantized chaotic piecewise-affine pseudo-Markov systems. II. Higher order correlations and self-similarity , 2002 .
[10] Yoko Uwate,et al. Performance of Chaos Noise Injected to Hopfield NN for Quadratic Assignment Problems , 2002 .
[11] Y. Nishio,et al. Associative memory by Hopfield NN with chaos injection , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).