PROCEEDINGS VOLUME 1710
AEROSPACE SENSING | 20-20 APRIL 1992
Science of Artificial Neural Networks
Editor(s): Dennis W. Ruck
AEROSPACE SENSING
20-20 April 1992
Orlando, FL, United States
Plenary Session
Proc. SPIE 1710, Computational learning theory, 0000 (1 July 1992); doi: 10.1117/12.140091
Architectures
Proc. SPIE 1710, High-order neural network employing adaptive architecture, 0000 (1 July 1992); doi: 10.1117/12.140108
Proc. SPIE 1710, Inheritance of knowledge in neural networks via symbolic algebra, 0000 (1 July 1992); doi: 10.1117/12.140117
Proc. SPIE 1710, Deterministic learning theory and a parallel cascaded one-step learning machine, 0000 (1 July 1992); doi: 10.1117/12.140127
Proc. SPIE 1710, Stretch and hammer neural networks, 0000 (1 July 1992); doi: 10.1117/12.140137
Proc. SPIE 1710, Uniformly sparse neural networks, 0000 (1 July 1992); doi: 10.1117/12.140147
Proc. SPIE 1710, Visual grammars and their neural networks, 0000 (1 July 1992); doi: 10.1117/12.140075
Proc. SPIE 1710, Neural networks as components, 0000 (1 July 1992); doi: 10.1117/12.140076
Proc. SPIE 1710, Net pruning of multilayer perceptron using sequential classification technique, 0000 (1 July 1992); doi: 10.1117/12.140077
Proc. SPIE 1710, Modeling neural networks by networks of finite automata, 0000 (1 July 1992); doi: 10.1117/12.140078
Proc. SPIE 1710, Structural organization of a Boolean cellular automata, 0000 (1 July 1992); doi: 10.1117/12.140079
Proc. SPIE 1710, Nonstationary and asymmetric net for real-time pattern recognition in noisy environments, 0000 (1 July 1992); doi: 10.1117/12.140080
Biologically Based Systems
Proc. SPIE 1710, Physicochemical analog for modeling superimposed and coded memories, 0000 (1 July 1992); doi: 10.1117/12.140081
Proc. SPIE 1710, Dynamically stable associative learning: a neurobiologically based ANN and its applications, 0000 (1 July 1992); doi: 10.1117/12.140082
Proc. SPIE 1710, Some neural correlates of sensorial and cognitive control of behavior, 0000 (1 July 1992); doi: 10.1117/12.140083
Proc. SPIE 1710, Step-by-step design of a gain-adjustable neuron cell, 0000 (1 July 1992); doi: 10.1117/12.140084
Proc. SPIE 1710, Redundancy reduction as the basis for visual signal processing, 0000 (1 July 1992); doi: 10.1117/12.140085
Proc. SPIE 1710, Neural network modeling of visual recognition, 0000 (1 July 1992); doi: 10.1117/12.140086
Proc. SPIE 1710, Optimal spatial distribution of photodetector array using information theory, 0000 (1 July 1992); doi: 10.1117/12.140087
Proc. SPIE 1710, Neural nets for massively parallel optimization, 0000 (1 July 1992); doi: 10.1117/12.140088
Proc. SPIE 1710, Solving linear hard-optimization problems, 0000 (1 July 1992); doi: 10.1117/12.140089
Proc. SPIE 1710, Parametric and additive perturbations for global optimization, 0000 (1 July 1992); doi: 10.1117/12.140090
Proc. SPIE 1710, Neural network analysis of the information content in population responses from human periodontal receptors, 0000 (1 July 1992); doi: 10.1117/12.140092
Proc. SPIE 1710, Boltzmann distributions and neural networks: models of unbalanced interpretations of reversible patterns, 0000 (1 July 1992); doi: 10.1117/12.140093
Proc. SPIE 1710, Phase transitions in oscillatory neural networks, 0000 (1 July 1992); doi: 10.1117/12.140094
Perceptron-Based Systems
Proc. SPIE 1710, Nonseparable data models for a single-layer perceptron, 0000 (1 July 1992); doi: 10.1117/12.140095
Proc. SPIE 1710, Feedforward networks with hierarchical structure and local learning, 0000 (1 July 1992); doi: 10.1117/12.140096
Proc. SPIE 1710, Accessing the null space with nonlinear multilayer neural networks, 0000 (1 July 1992); doi: 10.1117/12.140097
Proc. SPIE 1710, Recent advances on techniques and theories of feedforward networks with supervised learning, 0000 (1 July 1992); doi: 10.1117/12.140098
Proc. SPIE 1710, Design rules of multilayer perceptrons, 0000 (1 July 1992); doi: 10.1117/12.140099
Proc. SPIE 1710, Feedforward neural nets and one-dimensional representation, 0000 (1 July 1992); doi: 10.1117/12.140100
Proc. SPIE 1710, Fault tolerance of neural networks with noisy training sets, 0000 (1 July 1992); doi: 10.1117/12.140101
Proc. SPIE 1710, Alternative method for the connectionist learning of k-DNF expressions, 0000 (1 July 1992); doi: 10.1117/12.140102
Proc. SPIE 1710, Negative transfer problem in neural networks, 0000 (1 July 1992); doi: 10.1117/12.140103
Proc. SPIE 1710, Principal component training of multilayer perceptron neural networks, 0000 (1 July 1992); doi: 10.1117/12.140104
Proc. SPIE 1710, Algorithm for the N-Lyapunov exponents of an N-dimensional unknown dynamical system, 0000 (1 July 1992); doi: 10.1117/12.140105
Proc. SPIE 1710, Theoretical and experimental analysis of the first layer in neural networks for 3D pattern recognition, 0000 (1 July 1992); doi: 10.1117/12.140106
Proc. SPIE 1710, Capacity of feedforward networks with shared weights, 0000 (1 July 1992); doi: 10.1117/12.140107
Proc. SPIE 1710, Attentive multidirectional associative memory with application to pattern association, 0000 (1 July 1992); doi: 10.1117/12.140109
Proc. SPIE 1710, FAUST: a vision-based neural network multimap pattern recognition architecture, 0000 (1 July 1992); doi: 10.1117/12.140110
Recurrent Neural Networks
Proc. SPIE 1710, Function prediction using recurrent neural networks, 0000 (1 July 1992); doi: 10.1117/12.140111
Proc. SPIE 1710, Sequence learning with recurrent networks: analysis of internal representations, 0000 (1 July 1992); doi: 10.1117/12.140112
Proc. SPIE 1710, Recurrent network training with the decoupled-extended-Kalman-filter algorithm, 0000 (1 July 1992); doi: 10.1117/12.140113
Proc. SPIE 1710, Alternative learning methods for training neural network classifiers, 0000 (1 July 1992); doi: 10.1117/12.140114
Fuzzy Logic and Genetic Algorithms I
Proc. SPIE 1710, What can quantum logic and fuzzy logic teach each other?, 0000 (1 July 1992); doi: 10.1117/12.140115
Proc. SPIE 1710, Fuzzy neural computing systems, 0000 (1 July 1992); doi: 10.1117/12.140116
Proc. SPIE 1710, Improving convergence and performance of Kohonen's self-organizing scheme, 0000 (1 July 1992); doi: 10.1117/12.140118
Proc. SPIE 1710, Edge detection using a fuzzy neural network, 0000 (1 July 1992); doi: 10.1117/12.140119
Proc. SPIE 1710, Partially supervised fuzzy c-means algorithm for segmentation of MR images, 0000 (1 July 1992); doi: 10.1117/12.140120
Proc. SPIE 1710, Framework for fuzzy neural networks, 0000 (1 July 1992); doi: 10.1117/12.140121
Proc. SPIE 1710, Modeling confusion for autonomous systems, 0000 (1 July 1992); doi: 10.1117/12.140122
Proc. SPIE 1710, Realizing the potential of neural network implementation technologies: methods of using large neural networks, 0000 (1 July 1992); doi: 10.1117/12.140123
Proc. SPIE 1710, Reinforcement and unsupervised learning in fuzzy-neuro controllers, 0000 (1 July 1992); doi: 10.1117/12.140124
Proc. SPIE 1710, Self-organization by fuzzy clustering, 0000 (1 July 1992); doi: 10.1117/12.140125
Proc. SPIE 1710, Japanese advances in fuzzy systems research, 0000 (1 July 1992); doi: 10.1117/12.140126
Proc. SPIE 1710, Neural network and fuzzy models for real-time control of a CVD epitaxial reactor, 0000 (1 July 1992); doi: 10.1117/12.140128
Proc. SPIE 1710, Application of the clinical matrix to the diagnosis of leukemia, 0000 (1 July 1992); doi: 10.1117/12.140129
Fuzzy Logic and Genetic Algorithms II
Proc. SPIE 1710, Fuzzy and neural systems and vehicle applications '91, 0000 (1 July 1992); doi: 10.1117/12.140130
Proc. SPIE 1710, Prototype selection rule for neural network training, 0000 (1 July 1992); doi: 10.1117/12.140131