Sequential pattern recognition procedures derived from multiple Fourier series

A novel Parzen probabilistic neural network based noncoherent detection algorithm for distributed ultra-wideband sensors

Journal of Network and Computer Applications

On pre-processing algorithms for data stream

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

On fuzzy clustering of data streams with concept drift

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

On resources optimization in fuzzy clustering of data streams

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

On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment

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

On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment

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

On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise

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

On the application of the parzen-type kernel regression neural network and order statistics for learning in a non-stationary environment

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

On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method

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

Weak convergence of the parzen-type probabilistic neural network handling time-varying noise

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

Strong convergence of the recursive parzen-type probabilistic neural network handling nonstationary noise

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

A new fuzzy classifier for data streams

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

On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I

On the cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I

On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I

On general regression neural network in a nonstationary environment

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I

Learning in a non-stationary environment using the recursive least squares method and orthogonal-series type regression neural network

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I

On the application of the parzen-type kernel probabilistic neural network and recursive least squares method for learning in a time-varying environment

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I

Weak convergence of the recursive parzen-type probabilistic neural network in a non-stationary environment

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I

Strong convergence of the parzen-type probabilistic neural network in a time-varying environment

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I

Learning in a time-varying environment by making use of the stochastic approximation and orthogonal series-type kernel probabilistic neural network

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I