Neural network ensemble learning has been turned out to be an efficient strategy for achieving high performance, especially in fields where the development of a powerful single learning system requires considerable efforts (Lai et al., 2006, Yu et al., 2007, 2008b). Usually, neural network ensemble learning model outperforms the individual neural network models, whose performance is limited by ...

Cogwheel phase-cycling schemes are applied to sideband suppression and sideband separation experiments in solid-state NMR. It is shown that cogwheel phase cycles lead to the elimination of most pulse imperfection effects, while using far fewer experimental signal acquisitions than conventional phase-cycling methods.

I Buckling and postbuckling behavior under axial compression is analyzed for a long circular cylinder containing an axisymmetric imperfection. Bifurcation I stresses are investigated for all possible modes, both periodic and aperiodic, and postbuckling analysis reveals that bifurcation is not always associated with a loss of load-carrying capacity. The results provide some theoretical foundatio...

We study analytically and numerically the effects of various imperfections in a quantum computation of a simple dynamical model based on the quantum wavelet transform. The results for fidelity time scales, obtained for a large range of error amplitudes and number of qubits, imply that for static imperfections the threshold for fault-tolerant quantum computation is decreased by a few orders of m...

Zero-if transceivers suffer from the imbalance of the I and Q paths. By using a complex low-pass filter topology instead of a conventional pair of real low-pass filters, this imperfection can be reduced. Both analytical and numerical analysis show that the proposed technique is significantly more robust to circuit imperfections than the traditional architecture.

Reference points play important role in the field of fingerprint recognition. It is mainly used for fingerprint classification and fingerprint matching. There are many methods proposed for fingerprint reference point detection like Poincare Index technique, Direction curvature technique etc. The purpose of this paper is to detect the reference points considering the uncertainty for imperfection...

We consider the groups which are infinitely definable in separably closed fields of finite degree of imperfection. We prove in particular that no new definable groups arise in this way: we show that any group definable in such a field L is definably isomorphic to the group of L-rational points of an algebraic group defined over L.