the stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great interest from researchers of neural networks. this paper suggests adaptive gradient descent algorithm with stable learning laws for modified dynamic neural network (mdnn) and studies the stability of this algorithm. also, stable learning algorithm for parameters of ...

in this study; utilizing the elastic matrix ball has higher processing efficiency and better superficial quality than traditionalgrinding. the diversity of elastic abrasive tool characteristics contact with bend surface results in irregular wear abrasion，and abrasive tool machining status gets complicated. there is no theoretical interpretation of parameters affecting the grinding accuracy. bec...

We propose and develop rate-distortion theory in the Kolmogorov complexity setting. This gives the ultimate limits of lossy compression of individual data objects, taking all effective regularities of the data into account.

in this study, the social welfare impacts of the interaction of iranian rice import policies and thai export policies are analyzed using a game theoretic approach in conjunction with econometric supply and demand models. the joint impacts of increasing the world price of rice, resulting from the export policies in thailand along with changes in tariff rates in iran, on social welfare are analyz...