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Titlebook: Learning Systems; Eduard Aved’yan,J. Mason,P. C. Parks Book 1995 Springer-Verlag London Limited 1995 Adaptive control.algorithms.artificia

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發(fā)表于 2025-3-26 22:40:10 | 只看該作者
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發(fā)表于 2025-3-27 06:43:47 | 只看該作者
Eduard Aved’yan PhDion of very large period. According to the physics literature, the system is in stochastic resonance if its random trajectories are tuned in an optimal way to the deterministic periodic forcing. The quality of periodic tuning is measured mostly by the amplitudes of the spectral components of the ran
34#
發(fā)表于 2025-3-27 09:49:28 | 只看該作者
Eduard Aved’yan PhDTypical classes we consider are branching systems, state dependent branching systems, catalytic branching, mutually catalytic branching and we also touch on properties of Fleming-Viot models. Many features of such systems are universal in large classes of possible branching mechanism. Important feat
35#
發(fā)表于 2025-3-27 16:48:04 | 只看該作者
Eduard Aved’yan PhDume distinguishes itself from earlier publications by highlighting several interrelated environmental stresses that are changing in intensity as the climate warms in response to the accumulation of ‘greenhouse‘ gases. The stresses examined at the NATO Advanced Research Workshop upon which this book
36#
發(fā)表于 2025-3-27 20:09:43 | 只看該作者
Eduard Aved’yan PhDobal depletion of this ozone layer is, however, leading to increased levels of UV-B radiation reaching the earth’s surface. This increase will inevitably continue into the next century with potentially deleterious consequences for agriculture, horticulture and forestry. Studies of UV-B radiation eff
37#
發(fā)表于 2025-3-28 01:50:54 | 只看該作者
Eduard Aved’yan PhDasing intensity of traffic and livestock farming, respectively. On a more universal scale, concentrations of CO. and O. are also increasing. This chapter discusses whether nitrogenous air pollutants must be taken into account when evaluating the effects of elevated CO. and O. on plants. Results repo
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Stochastic Algorithms,) takes the form . where σξ.(.) plays the role of weights in the sum (5.1). The estimate .(.) that provides the minimum for function (5.1) satisfies the equation . and the estimate .(.), obviously, satisfies the equation ..
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