Neural Network Based Real-time Correction of Transducer Dynamic Errors

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

Real Time Dynamic Neural Network (RTDNN)

This paper describes a new neural network able to adapt itself, both its parameters and its structure, to a data set in real-time conditions. The adaptation is based on a nonsupervised learning procedure. The new neural network can automatically create interconnections between neurons using any generic activation function. Still another important feature of this new neural network is the use of...

متن کامل

Comparative Analysis of Neural Network Training Methods in Real-time Radiotherapy

Background: The motions of body and tumor in some regions such as chest during radiotherapy treatments are one of the major concerns protecting normal tissues against high doses. By using real-time radiotherapy technique, it is possible to increase the accuracy of delivered dose to the tumor region by means of tracing markers on the body of patients.Objective: This study evaluates the accuracy ...

متن کامل

Configuration and management of a real-time smart transducer network

Smart transducer technology supports the composability, configurability, and maintainability of sensor/actuator networks. The configuration and management of such networks, when carried out manually, is an expensive and error-prone task. Therefore, many existing fieldbus systems provide means of “plug-and-play” that assist the user in these tasks. In this paper we describe configuration and man...

متن کامل

Real-Time Neural Network Control

erebellar model arithmetic C computer (CMAC) neural networks can be applied to the problem of biped walking with dynamic balance. The project goal here is to develop biped control strategies based on a hierarchy of simple gait oscillators, PID controllers, and neural network leaming, that do not require detailed kinematic or dynamic models. While results of simulation studies using twodimension...

متن کامل

Correction of Dynamic Errors of a Gas Sensor Based on a Parametric Method and a Neural Network Technique

The paper presents two methods of dynamic error correction applied to transducers used for the measurement of gas concentration. One of them is based on a parametric model of the transducer dynamics, and the second one uses the artificial neural network (ANN) technique. This article describes research of the dynamic properties of the gas concentration measuring transducer with a typical sensor ...

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: Measurement Science Review

سال: 2013

ISSN: 1335-8871

DOI: 10.2478/msr-2013-0042