Multilayer feedforward networks are universal approximators
Neural Networks
Review of neural networks for speech recognition
Neural Computation
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Advances in neural information processing systems 2
Synergy of clustering multiple back propagation networks
Advances in neural information processing systems 2
Approximation capabilities of multilayer feedforward networks
Neural Networks
Robust Classifiers by Mixed Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalization by weight-elimination with application to forecasting
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Chaitin-Kolmogorov complexity and generalization in neural networks
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Neural networks and the bias/variance dilemma
Neural Computation
Feature extraction using an unsupervised neural network
Neural Computation
Simplifying neural networks by soft weight-sharing
Neural Computation
Decision-making processes in pattern recognition (ACM monograph series)
Decision-making processes in pattern recognition (ACM monograph series)
A Projection Pursuit Algorithm for Exploratory Data Analysis
IEEE Transactions on Computers
Journal of Cognitive Neuroscience
Backpropagation applied to handwritten zip code recognition
Neural Computation
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We present a novel classification and regression method that combines exploratory projection pursuit (unsupervised training) with projection pursuit regression (supervised training), to yield a new family of cost/complexity penalty terms. Some improved generalization properties are demonstrated on real-world problems.