Tsallis Relative Entropy within Statistical Linearization Problems
Tsallis Relative Entropy within Statistical Linearization Problems is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include stochastic process, white noise, Gaussian, Entropy, artificial neural network, system identification, linearization, constructive, nonlinear system, applied mathematics, mathematics, statistical physics, and Kullback–Leibler divergence. Statistical linearization is just a kind of stochastic system identification problems, which are considerably influenced with measures of dependence of random values.