Approximation theory and feedforward networks

Original Contribution: On the complexity of approximating mappings using feedforward networks

Neural Networks

Multilayer neural networks and polyhedral dichotomies

Annals of Mathematics and Artificial Intelligence

Notes on the approximation rate of fuzzy KH interpolators

Fuzzy Sets and Systems - Theme: Learning and modeling

Word segmentation of handwritten text using supervised classification techniques

Applied Soft Computing

Neural network based optimal control of a biosynthesis process

International Journal of Knowledge-based and Intelligent Engineering Systems - Advanced Intelligent Techniques in Engineering Applications

CMAC-based modelling the influence of temperature on tissue biosensor for measurement of dopamine

BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering

The multi-phase method in fast learning algorithms

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

ANSER: adaptive neuron artificial neural network system for estimating rainfall

International Journal of Computers and Applications

Combining experimental design and artificial neural networks for the determination of chlorinated compounds in fish using matrix solid-phase dispersion

Applied Soft Computing

The use of neural network and discrete Fourier transform for real-time evaluation of friction stir welding

Applied Soft Computing

On the approximation capabilities of hard limiter feedforward neural networks

SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications

Letters: Alleviating the problem of local minima in Backpropagation through competitive learning

Neurocomputing

Gear dynamics monitoring using discrete wavelet transformation and multi-layer perceptron neural networks

Applied Soft Computing

Solving differential equations by means of feed-forward artificial neural networks

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I

Addressing the local minima problem by output monitoring and modification algorithms

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I

Magnified gradient function to improve first-order gradient-based learning algorithms

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I

Multi-phase fast learning algorithms for solving the local minimum problem in feed-forward neural networks

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I

Back-propagation with diversive curiosity: An automatic conversion from search stagnation to exploration

Applied Soft Computing

Global illumination with radiance regression functions

ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings

Universal approximation by radial basis function networks of Delsarte translates

Neural Networks