Learning systems: theory and application
暂无分享,去创建一个
[1] C. Dorea. Stopping rules for a random optimization method , 1990 .
[2] Bernard Widrow,et al. 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation , 1990, Proc. IEEE.
[3] Mandayam A. L. Thathachar,et al. Learning Optimal Discriminant Functions through a Cooperative Game of Automata , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[4] I︠a︡. Z. T︠S︡ypkin,et al. Foundations of the theory of learning systems , 1973 .
[5] Y. M. El-Fattah,et al. Learning Systems: Decision, Simulation, and Control , 1978 .
[6] E. Zafiriou,et al. Use of neural networks for sensor failure detection in a control system , 1990, IEEE Control Systems Magazine.
[7] Richard Lippmann,et al. Review of Neural Networks for Speech Recognition , 1989, Neural Computation.
[8] Geoffrey E. Hinton,et al. Phoneme recognition using time-delay neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..
[9] Kumpati S. Narendra,et al. Learning Automata - A Survey , 1974, IEEE Trans. Syst. Man Cybern..
[10] J. Sklansky,et al. Learning systems for automatic control , 1966 .
[11] Robert M. Glorioso. Engineering Intelligent Systems , 1980 .
[12] B. Chandrasekaran,et al. On Expediency and Convergence in Variable-Structure Automata , 1968, IEEE Trans. Syst. Sci. Cybern..
[13] N.V. Bhat,et al. Modeling chemical process systems via neural computation , 1990, IEEE Control Systems Magazine.
[14] S. Lakshmivarahan,et al. Learning Algorithms Theory and Applications , 1981 .
[15] Kumpati S. Narendra,et al. Games of Stochastic Automata , 1974, IEEE Trans. Syst. Man Cybern..
[16] S.S. Rangwala,et al. Learning and optimization of machining operations using computing abilities of neural networks , 1989, IEEE Trans. Syst. Man Cybern..
[17] K. R. Ramakrishnan,et al. A cooperative game of a pair of learning automata , 1984, Autom..
[18] S. Zamir. On the Notion of Value for Games with Infinitely Many Stages , 1973 .
[19] Eduardo D. Sontag,et al. Backpropagation Can Give Rise to Spurious Local Minima Even for Networks without Hidden Layers , 1989, Complex Syst..
[20] K S Narendra,et al. IDENTIFICATION AND CONTROL OF DYNAMIC SYSTEMS USING NEURAL NETWORKS , 1990 .
[21] Frederick Mosteller,et al. Stochastic Models for Learning , 1956 .
[22] Philip M. Morse,et al. Introduction to the Theory of Games , 1952 .
[23] Norio Baba,et al. On the Learning Behavior of Stochastic Automata Under a Nonstationary Random Environment , 1975, IEEE Transactions on Systems, Man, and Cybernetics.
[24] Norio Baba,et al. Two ε-Optimal Nonlinear Reinforcement Schemes for Stochastic Automata , 1974, IEEE Trans. Syst. Man Cybern..
[25] Howard Raiffa,et al. Games And Decisions , 1958 .
[26] M. Thathachar,et al. Bounds on the Convergence Probabilities of Learning Automata , 1976 .
[27] Kaddour Najim,et al. Modelling and learning control of rotary phosphate dryer , 1989 .
[28] Teuvo Kohonen,et al. The self-organizing map , 1990 .
[29] H. Kushner. Stochastic approximation algorithms for the local optimization of functions with nonunique stationary points , 1972 .
[30] R. Duncan Luce,et al. Individual Choice Behavior , 1959 .
[31] Kumpati S. Narendra,et al. Adaptation and learning in automatic systems , 1974 .
[32] Hendrik Van Brussel,et al. A self-learning automaton with variable resolution for high precision assembly by industrial robots , 1982 .
[33] Norio Baba. The absolutely expedient nonlinear reinforcement schemes under the unknown multiteacher environment , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[34] B. John Oommen,et al. Learning automata processing ergodicity of the mean: The two-action case , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[35] K. Narendra,et al. Learning Algorithms for Two-Person Zero-Sum Stochastic Games with Incomplete Information: A Unified Approach , 1982 .
[36] Peter T. Cummings,et al. Process optimization via simulated annealing: Application to network design , 1989 .
[37] B. Chandrasekaran,et al. Stochastic Automata Games , 1969, IEEE Trans. Syst. Sci. Cybern..
[38] Robert B. Allen,et al. Learning of stable states in stochastic asymmetric networks , 1990, IEEE Trans. Neural Networks.
[39] J. Kiefer,et al. Stochastic Estimation of the Maximum of a Regression Function , 1952 .
[40] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[41] James A. Anderson,et al. Neurocomputing: Foundations of Research , 1988 .
[42] R. Kashyap,et al. Optimization of stochastic finite state systems , 1966 .
[43] Leonardo Reyneri,et al. Modified backpropagation algorithm for fast learning in neural networks , 1990 .
[44] L. G. Mason,et al. Learning Automata Models for Adaptive Flow Control in Packet-Switching Networks , 1986 .
[45] Rein Luus,et al. Reliability of optimization procedures for obtaining global optimum , 1978 .
[46] M. Thathachar,et al. A Hierarchical System of Learning Automata , 1981, IEEE Transactions on Systems, Man, and Cybernetics.
[47] B. Ydstie. Forecasting and control using adaptive connectionist networks , 1990 .
[48] W. Thomas Miller,et al. Real-time application of neural networks for sensor-based control of robots with vision , 1989, IEEE Trans. Syst. Man Cybern..
[49] K. Najim,et al. Optimization technique based on learning automata , 1990 .
[50] P. Mars,et al. Application of Learning Automata to Image Data Compression , 1986 .
[51] K. Najim. Multivariable control of a liquid-liquid extraction column using a probabilistic automaton , 1988 .
[52] BART KOSKO,et al. Bidirectional associative memories , 1988, IEEE Trans. Syst. Man Cybern..
[53] J. G. Taylor,et al. Noisy neural net states and their time evolution , 1990 .
[54] Kumpati S. Narendra,et al. Recent Developments in Learning Automata , 1986 .
[55] Josiah C. Hoskins,et al. Artificial neural network models for knowledge representation in chemical engineering , 1990 .
[56] Kaddour Najim,et al. Multivariable learning control of an extractor , 1988 .
[57] M. V. Le Lann,et al. CONTROL OF A PULSED LIQUID-LIQUID EXTRACTION COLUMN BASED ON A MULTILEVEL SYSTEM OF AUTOMATA , 1988 .
[58] King-Sun Fu,et al. An algorithm for learning without external supervision and its application to learning control systems , 1966 .
[59] Kumpati S. Narendra,et al. Learning automata - an introduction , 1989 .
[60] H.E. Rauch,et al. Neural networks for routing communication traffic , 1988, IEEE Control Systems Magazine.
[61] B. R. Harita,et al. Learning automata with changing number of actions , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[62] Shun-ichi Amari,et al. Mathematical foundations of neurocomputing , 1990, Proc. IEEE.
[63] David J. Burr,et al. Experiments on neural net recognition of spoken and written text , 1988, IEEE Trans. Acoust. Speech Signal Process..