Robust trainability of single neurons
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Training a sigmoidal node is hard
Neural Computation
Considerations about Nanoelectronic GSI Processors
Analog Integrated Circuits and Signal Processing - Special issue on analog nano-electronics
Minds and Machines
Generalization by Neural Networks
IEEE Transactions on Knowledge and Data Engineering
Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks
IEEE Transactions on Knowledge and Data Engineering
Hardness results for neural network approximation problems
Theoretical Computer Science
Training a single sigmoidal neuron is hard
Neural Computation
Computational complexity of neural networks: a survey
Nordic Journal of Computing
Neural Computation
Structural Complexity and Neural Networks
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Hardness Results for Neural Network Approximation Problems
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
On the Need for a Neural Abstract Machine
Sequence Learning - Paradigms, Algorithms, and Applications
On Approximate Learning by Multi-layered Feedforward Circuits
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
On the difficulty of approximately maximizing agreements
Journal of Computer and System Sciences
Intelligent systems: architectures and perspectives
Recent advances in intelligent paradigms and applications
Some Dichotomy Theorems for Neural Learning Problems
The Journal of Machine Learning Research
Loading Deep Networks Is Hard: The Pyramidal Case
Neural Computation
On the Nonlearnability of a Single Spiking Neuron
Neural Computation
On approximate learning by multi-layered feedforward circuits
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
A framework to deal with interference in connectionist systems
AI Communications
Monitoring and diagnosis of roller bearing conditions using neural networks and soft computing
International Journal of Knowledge-based and Intelligent Engineering Systems - Integrated and hybrid intelligent systems in product design and development
Parallel computations and committee constructions
Automation and Remote Control
International Journal of Systems Science
Compressing Pattern Databases with Learning
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Expert Systems with Applications: An International Journal
Neural networks as a unifying learning model for random normal form games
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Determining functional relationships from trained neural networks
Mathematical and Computer Modelling: An International Journal
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