Précis—Using Factor Analysis to Estimate Parameters
نویسندگان
چکیده
منابع مشابه
Using neural network to estimate weibull parameters
As is well known, estimating parameters of the tree-parameter weibull distribution is a complicated task and sometimes contentious area with several methods vying for recognition. Weibull distribution involves in reliability studies frequently and has many applications in engineering. However estimating the parameters of Weibull distribution is crucial in classical ways. This distribution has t...
متن کاملA Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method
A new technique to find the optimization parameter in TSVD regularization method is based on a curve which is drawn against the residual norm [5]. Since the TSVD regularization is a method with discrete regularization parameter, then the above-mentioned curve is also discrete. In this paper we present a mathematical analysis of this curve, showing that the curve has L-shaped path very similar t...
متن کاملAn Algorithm to Estimate Manipulator Dynamics parameters
This paper presents algorithms for identifying parameters of an N degrees-of-freedom robotic manipulator. First, we outline the fundamental properties of the Newton-Euler formulation of robot dynamics from the view point of parameter identification. We then show that the Newton-Euler model which is nonlinear in the dynamic parameters can be transformed into an equivalent modified model which is...
متن کاملUsing Neural Nets to Estimate Evolutionary Parameters
The rapid growth in the amount of molecular genetic data being collected will, in many cases, require the development of new analytic methods for the analysis of that data. In this paper we explore the feasibility of using machine learning algorithms, in particular neural networks, to estimate two evolutionary parameters of great interest: mutation and recombination rates. We show that this is ...
متن کاملAn algorithm to estimate manipulator dynamics parameters
This paper presents algorithms for identifying parameters of an N degrees-of-freedom robotic manipulator. First, we outline the fundamental properties of the Newton-Euler formulation of robot dynamics from the view point of parameter identification. We then show that the Newton-Euler model which is nonlinear in the dynamic parameters can be transformed into an equivalent modified model which is...
متن کاملذخیره 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: Management Science
سال: 1969
ISSN: 0025-1909,1526-5501
DOI: 10.1287/mnsc.15.6.b350