Search Results - "Ovaska, S.J."

Industrial applications of soft computing: a review by Dote, Y., Ovaska, S.J.

“…Fuzzy logic, neural networks, and evolutionary computation are the core methodologies of soft computing (SC). SC is causing a paradigm shift in engineering and…”
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Fusion of clonal selection algorithm and differential evolution method in training cascade–correlation neural network by Gao, X.Z., Wang, X., Ovaska, S.J.

“…In this paper, based on the fusion of the clonal selection algorithm (CSA) and differential evolution (DE) method, we propose a novel optimization scheme:…”
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Reference signal generator for active power filters using improved adaptive predictive filter by Byung-Moon Han, Byong-Yeul Bae, Ovaska, S.J.

“…The performance of an active power filter (APF) depends on the inverter characteristics, applied control method, and the accuracy of the reference signal…”
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Adaptive filtering using multiplicative general parameters for zero-crossing detection by Vainio, O., Ovaska, S.J., Polla, M.

“…An adaptive, robust, and computationally efficient disturbance reduction method for line-frequency zero-crossing detectors is proposed. Our adaptive system…”
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Evolutionary-programming-based optimization of reduced-rank adaptive filters for reference generation in active power filters by Ovaska, S.J., Vainio, O.

“…We introduce an evolutionary-programming-based method for designing robust and computationally efficient adaptive bandpass filters. These predictive filters…”
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Fusion of soft computing and hard computing in industrial applications: an overview by Ovaska, S.J., VanLandingham, H.F., Kamiya, A.

“…Soft computing (SC) is an emerging collection of methodologies which aims to exploit tolerance for imprecision, uncertainty, and partial truth to achieve…”
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Fusion of soft computing and hard computing: computational structures and characteristic features by Ovaska, S.J., Kamiya, A., YangQuan Chen

“…Soft computing (SC) and hard computing (HC) methodologies are fused together successfully in numerous industrial applications. The principal aim is to develop…”
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Linguistic information feedforward-based dynamical fuzzy systems by Xiao-Zhi Gao, Ovaska, S.J.

“…In this paper, we first propose a linguistic information feedforward-based dynamical fuzzy system (LIFFDFS) in which the past fuzzy inference output…”
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Genetic algorithm-assisted design of adaptive predictive filters for 50/60 Hz power systems instrumentation by Ovaska, S.J., Bose, T., Vainio, O.

“…We introduce a genetic algorithm-based method for structural optimization of multiplicative general parameter (MGP) finite impulse response (FIR) filters…”
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Fuzzy neural network with general parameter adaptation for modeling of nonlinear time-series by Akhmetov, D.F., Dote, Y., Ovaska, S.J.

“…By taking advantage of fuzzy systems and neural networks, a fuzzy-neural network with a general parameter (GP) learning algorithm and heuristic model structure…”
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ADC characterization based on singular value decomposition by Jian Qiu Zhang, Ovaska, S.J.

“…A new method for ADC characterization, based on singular value decomposition, is introduced in this paper. Here, the singular values of the sampled data…”
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An adaptive window function method for power measurement by Jian Qiu Zhang, Ovaska, S.J.

“…An adaptive window function for distorted power measurement is introduced in this paper. It can automatically provide the optimal window function according to…”
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Guest editorial special issue on fusion of soft computing and hard computing in industrial applications by Ovaska, S.J., Vanlandingham, H.F.

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Harmonics-resistant adaptive algorithm for line-frequency signal processing by Vainio, O., Ovaska, S.J.

“…Adaptive filters are often used in signal processing tasks related to line-frequency signals in power distribution systems. In this paper, we discuss a…”
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Errata to "fuzzy-neural network with general parameter adaptation for modeling of nonlinear time-series" by Akhmetov, D.F., Dote, Y., Ovaska, S.J.

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A class of predictive analog filters for sensor signal processing and control instrumentation by Vainio, O., Ovaska, S.J.

“…A class of analog continuous-time filters is introduced, having predictive properties for specified narrow-band signal models, such as low-order polynomials or…”
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Improving the velocity sensing resolution of pulse encoders by FIR prediction by Ovaska, S.J.

“…An FIR (finite impulse response) predictor based approach is presented to increase the highest possible velocity sampling rate of a cycle-length measuring…”
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Analysis of second-order harmonic distortion of ADC using bispectrum by Xiao Ming Gao, Ovaska, S.J., Sun Shenghe, Jenq, Y.-C.

“…This paper presents a new frequency-domain approach to test the second-order harmonic distortion of an analog-to-digital converter (ADC). It uses triple…”
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Soft computing methods in motor fault diagnosis by Gao, X.Z., Ovaska, S.J.

“…During the last decade, soft computing (computational intelligence) has attracted great interest from different areas of research. In this paper, we give an…”
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Multi-Level Optimization Of Negative Selection Algorithm Detectors With Application In Motor Fault Detection by Gao, X. Z., Ovaska, S.J., Wang, X., Chow, M.-Y.

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