UNH_CMAC Version 2.1 The University of New Hampshire Implementation of the Cerebellar Model Arithmetic Computer - CMAC

[1]  A. A. Mullin,et al.  Principles of neurodynamics , 1962 .

[2]  J. Albus A Theory of Cerebellar Function , 1971 .

[3]  James S. Albus,et al.  Theoretical and Experimental Aspects of a Cerebellar Model , 1973 .

[4]  James S. Albus,et al.  Data Storage in the Cerebellar Model Articulation Controller (CMAC) , 1975 .

[5]  James S. Albus,et al.  New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)1 , 1975 .

[6]  J. Albus Mechanisms of planning and problem solving in the brain , 1979 .

[7]  James S. Albus,et al.  Brains, behavior, and robotics , 1981 .

[8]  Dan E. Dudgeon,et al.  Multidimensional Digital Signal Processing , 1983 .

[9]  Enis Ersü On the Application of Associative Neural Network Models to Technical Control Problems , 1984 .

[10]  Enis Ersü,et al.  A New Concept for Learning Control Inspired by Brain Theory , 1984 .

[11]  W. Thomas Miller,et al.  Sensor-based control of robotic manipulators using a general learning algorithm , 1987, IEEE J. Robotics Autom..

[12]  Filson H. Glanz,et al.  Application of a General Learning Algorithm to the Control of Robotic Manipulators , 1987 .

[13]  W. Thomas Miller,et al.  A Nonlinear Learning Controller for Robotic Manipulators , 1987, Other Conferences.

[14]  Enis Ersü,et al.  Hierarchical Learning Control - An Approach with Neuron-Like Associative Memories , 1987, NIPS.

[15]  D. Bergantz,et al.  Neural network control of cybernetic limb prostheses , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  Stefan Gehlen,et al.  A Learning Control Scheme with Neuron-Like Associative Memories for the Control of Biotechnological Processes , 1988 .

[17]  John Moody,et al.  Speedy alternatives to back propagation , 1988, Neural Networks.

[18]  W. Thomas Miller,et al.  Deconvolution using a CMAC neural network , 1988, Neural Networks.

[19]  W. T. Miller,et al.  Real time experiments in neural network based learning control during high speed nonrepetitive robotic operations , 1988, Proceedings IEEE International Symposium on Intelligent Control 1988.

[20]  Enis Ersü,et al.  Learning Control Structures with Neuron-Like Associative Memory Systems , 1988 .

[21]  D. W. Hislop,et al.  Evaluation of a neural network for fault-tolerant, real-time, adaptive control , 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.

[22]  John Moody,et al.  Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.

[23]  A. V. Sebald,et al.  Use of neural net control strategies in difficult adaptive control problems: Closed loop control of drug infusion , 1989, Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989..

[24]  Alan V. Oppenheim,et al.  Discrete-Time Signal Pro-cessing , 1989 .

[25]  Kwanghee Nam,et al.  CMAC based iterative learning control of robot manipulators , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

[26]  W. T. Miller,et al.  Deconvolution and nonlinear inverse filtering using a neural network , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[27]  W. Thomas Miller,et al.  Practical Demonstration Of A Learning Control System For A Five-Axis Industrial Robot , 1989, Other Conferences.

[28]  Heinz Walter Werntges Delta rule-based neural networks for inverse kinematics: error gradient reconstruction replaces the teacher , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[29]  Hyungsuck Cho,et al.  A CMAC-based learning controller for pressure tracking control of hydroforming processes , 1990 .

[30]  W. T. Miller,et al.  Rapid learning using CMAC neural networks: real time control of an unstable system , 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

[31]  W. T. Miller,et al.  CMAC: an associative neural network alternative to backpropagation , 1990, Proc. IEEE.

[32]  H. Kano,et al.  Learning Control of Robotic Manipulators Based on Neurological Model CMAC , 1990 .

[33]  W. Thomas Miller,et al.  Real-time dynamic control of an industrial manipulator using a neural network-based learning controller , 1990, IEEE Trans. Robotics Autom..

[34]  W. T. Miller,et al.  An overview of the CMAC neural network , 1991, [1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering.

[35]  P. Parks,et al.  Improved Allocation of Weights for Associative Memory Storage in Learning Control Systems , 1991 .

[36]  F. H. Glanz,et al.  Experimental parameter studies for the CMAC neural network , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[37]  J.R. LaCourse,et al.  Analyzing biological signals with CMAC, a neural network , 1991, Proceedings of the 1991 IEEE Seventeenth Annual Northeast Bioengineering Conference.

[38]  Z. Geng,et al.  Dynamic control of a parallel link manipulator using CMAC neural network , 1991, Proceedings of the 1991 IEEE International Symposium on Intelligent Control.

[39]  Stephen H. Lane,et al.  Higher-Order CMAC Neural Networks - Theory and Practice , 1991, 1991 American Control Conference.

[40]  D. Ellison,et al.  On the Convergence of the Multidimensional Albus Perceptron , 1991, Int. J. Robotics Res..

[41]  P. C. Parks,et al.  Design Improvements in Associative Memories for Cerebellar Model Articulation Controllers (CMAC) , 1991 .

[42]  Fumihito Arai,et al.  A study on the brachiation type of mobile robot (heuristic creation of driving input and control using CMAC) , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

[43]  Hyongsuk Kim,et al.  CMAC-based adaptive critic self-learning control , 1991, IEEE Trans. Neural Networks.

[44]  P. E. An,et al.  An improved multi-dimensional CMAC neural network: Receptive field function and placement , 1991 .

[45]  Y. Lin,et al.  Kinematic control and coordination of walking machine motion using neural networks , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

[46]  Alexander Hagens,et al.  Application of a simple cerebellar model to geologic surface mapping , 1991 .

[47]  L. Haynes,et al.  Neural network solution for the forward kinematics problem of a Stewart platform , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[48]  D.A. Handelman,et al.  Theory and development of higher-order CMAC neural networks , 1992, IEEE Control Systems.

[49]  Isao Hayashi,et al.  Formulation of CMAC-fuzzy system , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[50]  Robert O. Shelton,et al.  Controlling a truck with an adaptive critic CMAC design , 1992, Simul..

[51]  Neil E. Cotter,et al.  A pulsed neural network capable of universal approximation , 1992, IEEE Trans. Neural Networks.

[52]  Stefan Gehlen,et al.  LEARNING BY INTERPOLATING MEMORIES FOR MODELLING OF FERMENTATION PROCESSES , 1992 .

[53]  Neil E. Cotter,et al.  The CMAC and a theorem of Kolmogorov , 1992, Neural Networks.

[54]  Nigel M. Allinson,et al.  Realisation of a modified CMAC architecture using reconfigurable logic devices , 1993 .

[55]  Chris J. Harris,et al.  The interpolation capabilities of the binary CMAC , 1993, Neural Networks.

[56]  Derek A. Linkens,et al.  A fuzzified CMAC self-learning controller , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

[57]  Anthony G. Pipe,et al.  Stable neural control of discrete systems , 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.

[58]  Bo Zhang,et al.  The learning convergence of CMAC in cyclic learning , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[59]  Zheng Geng,et al.  Dynamic control of a parallel link manipulator using a CMAC neural network , 1993 .

[60]  Y. Jin,et al.  Stable neural network control for manipulators , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[61]  Y.-f. Wong,et al.  CMAC learning is governed by a single parameter , 1993, IEEE International Conference on Neural Networks.

[62]  Robert O. Shelton,et al.  Controlling a truck with an adaptive critic temporal difference CMAC design , 1993 .

[63]  Martin Brown,et al.  Neurofuzzy adaptive modelling and control , 1994 .

[64]  T. R. Damarla,et al.  A learning algorithm for a CMAC-based system and its application for classification of ultrasonic signals , 1994 .

[65]  Ishwar K. Sethi,et al.  Nearest neighbor classification using CMAC , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[66]  Chris J. Harris,et al.  The modelling abilities of the binary CMAC , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[67]  J.-P. Jiang,et al.  Supervised learning control of a nonlinear polymerisation reactor using the CMAC neural network for knowledge storage , 1994 .

[68]  Anthony V. Sebald,et al.  Minimax design of neural net controllers for highly uncertain plants , 1994, IEEE Trans. Neural Networks.

[69]  Azim Eskandarian,et al.  Dynamics modeling of robotic manipulators using an artificial neural network , 1994, J. Field Robotics.

[70]  W.T. Miller Real-time neural network control of a biped walking robot , 1994, IEEE Control Systems.

[71]  Yau-Hwang Kuo,et al.  A CMAC neural network chip for color correction , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[72]  W. T. Miller Learning dynamic balance of a biped walking robot , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[73]  Hyongsuk Kim,et al.  Selection of learning parameters for CMAC-based adaptive critic learning , 1995, IEEE Trans. Neural Networks.