Bayesian Neural Networks for Industrial Appli ations

نویسنده

  • Jouko Lampinen
چکیده

Abstra t We demonstrate the advantages of using Bayesian neural networks in regression, inverse and lassi ation problems, whi h are ommon in industrial appli ations. The Bayesian approa h provides onsistent way to do inferen e by ombining the eviden e from data to prior knowledge from the problem. A pra ti al problem with neural networks is to sele t the orre t omplexity for the model, i.e., the right number of hidden units or orre t regularization parameters. The Bayesian approa h o ers e ient tools for avoiding over tting even with very omplex models, and fa ilitates estimation of the on den e intervals of the results. In this ontribution we review the Bayesian methods for neural networks and present omparison results from ase studies in predi tion of the quality properties of on rete (regression), ele tri al impedan e tomography (inverse problem) and forest s ene analysis ( lassi ation). The Bayesian networks provided onsistently better results than other methods.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bayesian Neural Networks for Industrial Appli

Aki Vehtari and Jouko Lampinen Laboratory of Computational Engineering, Helsinki University of Te hnology P.O.Box 9400, FIN-02015 HUT, FINLAND SMCia/99 1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Appli ations Kuusamo, Finland, June 16 18, 1999 Abstra t We demonstrate the advantages of using Bayesian neural networks in regression, inverse and lassi ation problems, whi...

متن کامل

Estimation of Products Final Price Using Bayesian Analysis Generalized Poisson Model and Artificial Neural Networks

Estimating the final price of products is of great importance. For manufacturing companies proposing a final price is only possible after the design process over. These companies propose an approximate initial price of the required products to the customers for which some of time and money is required. Here using the existing data of already designed transformers and utilizing the bayesian anal...

متن کامل

On the use of multi-agent systems for the monitoring of industrial systems

The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences su...

متن کامل

Traffic Sensitve Active Queue Management for Improved Multimedia Streaming

ABSTRACT The Internet, whi h has traditionally supported throughputsensitive appli ations su h as email and le transfer, is inreasingly supporting delay-sensitive multimedia appli ations su h as intera tive audio. These delay-sensitive appli ations would often rather sa ri e some throughput for lower delay. Unfortunately, the urrent Internet does not o er hoi es in the amount of delay or throug...

متن کامل

Optimizing Compilers for Embedded Appli ations

In reasingly, general-purpose pro essors are used for embedded appli ations rather than ustomised hardware. As pro essor ost drops, it be omes more attra tive to use one pro essor for several appli ations rather than designing spe i hardware. Multimedia based appli ations are typi al of the growing uses of embedded systems, requiring ost-e e tive implementation and high performan e. Very Long I...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014