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  Supervisor

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by Erol Sahin, Ismail Tosun, Prof Dr, Nese Yalabik
http://cns-web.bu.edu/~erol/./ps/msthesis.ps
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Abstract:

that we have read this thesis and that in our opinion it is fully

Citations

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1390 Introduction to the Theory of Neural Computation – Hertz, Krogh, et al. - 1991
1007 Neural networks and physical systems with emergent collective computational abilities – Hopfield - 1982
800 Multilayer feedforward networks are universal approximators – Hornik, Stinchcombe, et al. - 1989
751 Self organzed formation of topologically correct feature maps – Kohonen - 1982
418 A logical calculus of the ideas immanent in nervous activity – McCulloch, Pitts - 1943
366 Beyond Regression: New Tools for Prediction and Analysis – Werbos - 1974
366 Adaptive Switching Circuits – Widrow, Hoff - 1960
350 Optimal brain damage – Cun, Denker, et al. - 1990
273 A simplified neuron model as a principal component analyzer – Oja - 1982
245 Increased Rates of Convergence Through Learning Rate Adaptation. Neural Networks – Jacobs - 1988
223 Faster-Learning Variations on Back-Propagation: An Empirical Study – Fahlman - 1988
211 Feature discovery by competitive learning – Rumelhart, Zipser - 1986
165 The Upstart algorithm: a method for constructing and training feed-forward networks, Neural Comput – Frean - 1990
132 Organisation of Behaviour – Hebb - 1949
112 Skeletonization: A technique for trimming the fat from a network via relevance assessment – Mozer, Smolensky - 1989
91 Accelerating the convergence of the backpropagation method – Vogl, Mangis, et al. - 1988
70 Product units: A computationally powerful and biologically plausible extension to backpropagation networks – R, Rumelhart - 1989
69 Experiments on learning by back propagation – Plaut, Nowlan, et al. - 1986
55 Comparing biases for minimal network construction with back-propagation. Neural Information Processing 1:177–185 – Hanson, Pratt - 1989
55 Learning logic – Parker - 1985
53 Accelerated learning in layered neural networks – Solla, Levin, et al. - 1988
50 A convergence theorem for sequential learning in two-layer perceptrons – Marchand, Golea, et al. - 1990
34 Continuous valued neural networks with two hidden layers are sufficient (Technical Report – Cybenko
22 Neural net pruning – why and how – Siestma, Dow - 1988
20 Exhaustive learning – Schwartz, Samalam, et al. - 1990
19 Generalization and information storage in networks of Adaline neurons. Self-organizing systems. Washington DC: Spartan Books – Widrow - 1962
17 Constructive higher-order network algorithm that is polynomial time – Redding, Kowalczyk, et al. - 1993
11 Successfully Using Peak Learning Rates of 10 (and greater) in Back-propagation Networks with the Heuristic Learning Algorithm – Cater - 1987
8 Higher Order Associative Memories and Their Optical Implementations. Neural Networks – Park, Hang - 1988
7 Factors Influencing Learning by Backpropagation – Lehmen, Paek, et al. - 1988
5 Learning and using specific instances – Volper - 1987
4 Supervised learning with Gaussian potentials – Lee - 1992
2 Large Automatic – Denker, Schwartz, et al. - 1987
2 Multiplying with Synapses and Neurons", Single Neuron Computation – Koch, Poggio - 1992
2 The Sigma-Pi Model Neuron: Roles of the Dendritic Tree – Mel - 1990
1 Statistical Mechanics and Invariant Perception – Bialek, Zee - 1987
1 Applied Optimum Control – Bryson, Ho - 1969
1 Sejnowski "Optimal Perceptual Inference – Hinton, J - 1983
1 A Structural Learning of Neural Networks Based on an Entropy Criterion – Ishikawa, Uchida - 1992
1 Artificial Neural Network with Complex Weight and Its Training – Shin, Sridhar - 1992
1 Network Configurations and Training Speeds of Second-Order Neural Networks – Shin, Sridhar - 1993