On the computational power of neural nets
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Finiteness results for sigmoidal “neural” networks
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Bounds for the computational power and learning complexity of analog neural nets
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
On the power of polynomial discriminators and radial basis function networks
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
On real Turing machines that toss coins
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Lower bound on VC-dimension by local shattering
Neural Computation
Nonlinear Versus Linear Learning Devices: A Procedural Perspective
Computational Economics
Parameter convergence and learning curves for neural networks
Neural Computation
Transfer theorems via sign conditions
Information Processing Letters
Training a single sigmoidal neuron is hard
Neural Computation
Computational complexity of neural networks: a survey
Nordic Journal of Computing
Generative Capacities of Cellular Automata Codification for Evolution of NN Codification
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
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
Computers and Operations Research
Universal Approximation Capability of Cascade Correlation for Structures
Neural Computation
Minimal Feedforward Parity Networks Using Threshold Gates
Neural Computation
Constructive approximate interpolation by neural networks
Journal of Computational and Applied Mathematics
On approximate learning by multi-layered feedforward circuits
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
Vapnik-chervonenkis generalization bounds for real valued neural networks
Neural Computation
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Constructive approximate interpolation by neural networks
Journal of Computational and Applied Mathematics
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Approximate interpolation by neural networks with the inverse multiquadric functions
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Constructive approximation to multivariate function by decay RBF neural network
IEEE Transactions on Neural Networks
Approximation capability of interpolation neural networks
Neurocomputing
The multidimensional function approximation based on constructive wavelet RBF neural network
Applied Soft Computing
Inferring polished rod position from torque current of the motor
AIASABEBI'11 Proceedings of the 11th WSEAS international conference on Applied informatics and communications, and Proceedings of the 4th WSEAS International conference on Biomedical electronics and biomedical informatics, and Proceedings of the international conference on Computational engineering in systems applications
Constructive approximate interpolation by neural networks in the metric space
Mathematical and Computer Modelling: An International Journal
Computers and Industrial Engineering
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