In this paper, we present a gradient algorithm for identifying unknown parameters in an open quantum system from the measurements of time traces local observables. The dynamics is described by general Markovian master equation based on which Hamiltonian identification problem can be formulated as minimizing distance between real observables and those predicted equation. then learned with descen...

This paper presents a new algorithm for the parallel in time (PiT) numerical simulation of dependent partial/ordinary differential equations. We propose reliable alternative to well know parareal algorithm, by formulating problem algebraically and solve it using an adapted Bi-Conjugate gradient stabilized method. The proposed Parallel Stable (PiTSBiCG short) has great potential stabilizing reso...

In this paper an algorithm is presented for the regularization of singular integrals with any degrees of singularity, which may be employed in all three-dimensional problems analyzed by Boundary Elements. The integrals in Boundary Integrals Equations are inherently singular. For example, one can mention the integrals confronted in potential problems to evaluate the flow or the gradient of the f...

Prediction, diagnosis, recovery and recurrence of the breast cancer among the patients are always one of the most important challenges for explorers and scientists. Nowadays by using of the bioinformatics sciences, these challenges can be eliminated by using of the previous information of patients records. In this paper has been used adaptive nero fuzzy inference system and data mining techniqu...

Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...

A novel version of Ant Colony Optimization (ACO) algorithms for solving continuous space problems is presented in this paper. The basic structure and concepts of the originally reported ACO are preserved and adaptation of the algorithm to the case of continuous space is implemented within the general framework. The stigmergic communication is simulated through considering certain direction vect...