Parameter Identification of ARX Models Based on Modified Momentum Gradient Descent Algorithm

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Momentum Term in Gradient Descent 11

A momentum term is usually included in the simulations of connectionist learning algorithms. Although it is well known that such a term greatly improves the speed of learning, there have been few rigorous studies of its mechanisms. In this paper, I show that in the limit of continuous time, the momentum parameter is analogous to the mass of Newtonian particles that move through a viscous medium...

متن کامل

Handwritten Character Recognition using Modified Gradient Descent Technique of Neural Networks and Representation of Conjugate Descent for Training Patterns

The purpose of this study is to analyze the performance of Back propagation algorithm with changing training patterns and the second momentum term in feed forward neural networks. This analysis is conducted on 250 different words of three small letters from the English alphabet. These words are presented to two vertical segmentation programs which are designed in MATLAB and based on portions (1...

متن کامل

Multiple-Gradient Descent Algorithm (MGDA)

In a previous report [3], a methodology for the numerical treatment of a two-objective optimization problem, possibly subject to equality constraints, was proposed. The method was devised to be adapted to cases where an initial design-point is known and such that one of the two disciplines, considered to be preponderant, or fragile, and said to be the primary discipline, achieves a local or glo...

متن کامل

Online gradient descent learning algorithm†

This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without an explicit regularization term. We present a novel capacity independent approach to derive error bounds and convergence results for this algorithm. The essential element in our analysis is the interplay between the generalization error and a weighted cumulative error whi...

متن کامل

Identification of Switched MIMO ARX models

The paper deals with the identification of a MIMO Switched ARX model from its input-output data. The model is assumed to have an unknown number of submodels of unknown and possibly different orders. This is a challenging problem because of the strong coupling between the unknown discrete state and the unknown model parameters. In our work, we adopt a polynomial decoupling representation for han...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Complexity

سال: 2020

ISSN: 1076-2787,1099-0526

DOI: 10.1155/2020/9537075