An analog neural network solution to the inverse problem of 'early taction'
暂无分享,去创建一个
Martin Peckerar | Yagyensh C. Pati | Perinkulam S. Krishnaprasad | Y. C. Pati | P. Krishnaprasad | M. Peckerar
[1] Demetri Psaltis,et al. Optical Neural Computers , 1987, Topical Meeting on Optical Computing.
[2] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[3] Colin Cherry M.Sc. A.M.I.E.E.. CXVII. Some general theorems for non-linear systems possessing reactance , 1951 .
[4] Tomaso Poggio,et al. Probabilistic Solution of Ill-Posed Problems in Computational Vision , 1987 .
[5] R. Westervelt,et al. Stability of analog neural networks with delay. , 1989, Physical review. A, General physics.
[6] T. Matsumoto,et al. Eventually passive nonlinear networks , 1977 .
[7] S. Smale. On the mathematical foundations of electrical circuit theory , 1972 .
[8] T. Poggio,et al. III-Posed problems early vision: from computational theory to analogue networks , 1985, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[9] John J. Hopfield,et al. Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit , 1986 .
[10] Martin Peckerar,et al. Neutral networks for tactile perception , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.
[11] John M. Hollerbach,et al. Basic Solid Mechanics for Tactile Sensing , 1984, ICRA.
[12] Paolo Dario,et al. Ferroelectric polymer tactile sensors with anthropomorphic features , 1984, ICRA.
[13] C. Desoer,et al. Trajectories of nonlinear RLC networks: A geometric approach , 1972 .
[14] J. K. Moser,et al. A theory of nonlinear networks. I , 1964 .
[15] I. Gohberg,et al. Basic Operator Theory , 1981 .
[16] F.J. Kub,et al. Architecture for large microelectronic supervised learning artificial neural networks using a hybrid digital-analog approach , 1988, Neural Networks.
[17] S. Timoshenko,et al. Theory of elasticity , 1975 .
[18] Jin Luo,et al. Computing motion using analog and binary resistive networks , 1988, Computer.
[19] Tomaso Poggio,et al. Computational vision and regularization theory , 1985, Nature.
[20] Yagyensh C. Pati. Neural Networks for Low Level Processing of Tactile Sensory Data , 1989 .
[21] Roger W. Brockett. Stability and control of grasping , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.
[22] R. Yang. Tactile Perception for Multifingered Hands , 1987 .
[23] Lawrence D. Jackel,et al. VLSI implementation of a neural network model , 1988, Computer.
[24] A Tikhonov,et al. Solution of Incorrectly Formulated Problems and the Regularization Method , 1963 .
[25] I. A. Mack,et al. Electronic ‘Neural’ Nets for Solving Ill-Posed Problems with an Entropy Regulariser , 1989 .
[26] G. Wahba. Ill Posed Problems: Numerical and Statistical Methods for Mildly, Moderately and Severely Ill Posed Problems with Noisy Data. , 1980 .
[27] James J. Clark. A magnetic field based compliance matching sensor for high resolution, high compliance tactile sensing , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.
[28] T. Matsumoto,et al. On several geometric aspects of nonlinear networks , 1976 .
[29] W. Millar. CXVI. Some general theorems for non-linear systems possessing resistance , 1951 .
[30] H. D. Conway,et al. Normal and shearing contact stresses in indented strips and slabs , 1966 .
[31] Leon D. Harmon,et al. Automated Tactile Sensing , 1982 .
[32] Mark H. Lee,et al. A Survey of Robot Tactile Sensing Technology , 1989, Int. J. Robotics Res..
[33] D. B. Schwartz,et al. Dynamics of microfabricated electronic neural networks , 1987 .
[34] G. Wahba,et al. Gcvpack – routines for generalized cross validation , 1987 .
[35] W. Rudin. Real and complex analysis , 1968 .
[36] Demetri Terzopoulos,et al. Multiresolution computation of visible-surface representations , 1984 .
[37] T. Matsumoto,et al. On the dynamics of electrical networks , 1976 .
[38] J. Maxwell. A Treatise on Electricity and Magnetism , 1873, Nature.