Design and Implementation of a Flexible Manufacturing Control System Using Neural Network
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[1] Jordan B. Pollack,et al. The induction of dynamical recognizers , 1991, Machine Learning.
[2] T. A. Condarcure,et al. Recurrent neural-network training by a learning automaton approach for trajectory learning and control system design , 1998, IEEE Trans. Neural Networks.
[3] Garrison W. Cottrell,et al. Time-delay neural networks: representation and induction of finite-state machines , 1997, IEEE Trans. Neural Networks.
[4] Emanuela Merelli,et al. A successive overrelaxation backpropagation algorithm for neural-network training , 1998, IEEE Trans. Neural Networks.
[5] Paul Rodríguez,et al. A Recurrent Neural Network that Learns to Count , 1999, Connect. Sci..
[6] Jordan B. Pollack,et al. Analysis of Dynamical Recognizers , 1997, Neural Computation.
[7] Magdy M. Abdelhameed. Adaptive neural network based controller for robots , 1999 .
[8] Kendrick W. Lentz. Design of Automatic Machinery , 1985 .
[9] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[10] MengChu Zhou,et al. Comparing ladder logic diagrams and Petri nets for sequence controller design through a discrete manufacturing system , 1994, IEEE Trans. Ind. Electron..
[11] J. Taylor,et al. Switching and finite automata theory, 2nd ed. , 1980, Proceedings of the IEEE.
[12] Mohamad H. Hassoun,et al. Recurrent neural nets as dynamical Boolean systems with application to associative memory , 1997, IEEE Trans. Neural Networks.
[13] MengChu Zhou,et al. Design of industrial automated systems via relay ladder logic programming and Petri nets , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[14] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[15] Tsutomu Sasao,et al. Switching Theory for Logic Synthesis , 1999, Springer US.
[16] Chuanyi Ji,et al. Fast training of recurrent networks based on the EM algorithm , 1998, IEEE Trans. Neural Networks.