Neural networks review paper

The Research of Fire Detection Based on Wavelet Neural Network Algorithm
First Page of the Article. Additional Details

With the improvement of the desire of fire detection system today, many new fire detection methods have been used for fire detection. The fire detection systems based on intelligent information processing have been proposed to handle this situation. These systems have self-learning and self-adaptive. The study of them has been the direction in the study of fire detection technology.The fire parameter gathered by the detectors is unable to know in advance, the non-constitutive signal. The traditional survey methods merely carry on the judgment and the recognition through gathering sole fire characteristic parameter information. So it is disturbed by the environment inevitably. The question about the system’s high mistakenly reporting rate is prominent. In recent years, the accuracy of fire alarm becomes better, while the sensibility and reliability of detectors are improved. But it can’t match the request of the automation of the fire detection system. It can decrease mistakenly reporting only by describing fire inherent characteristic completely and exactly. Thus fire detection algorithm based on multi-criteria is the main research direction in the present fire surveying field.Through researching the fire mechanism and the present fire surveying methods, and combined with fire detection system’s own characteristic, this article proposes fire detection algorithm based on wavelet neural network algorithm.In this paper, a gas sensor array was used to collect signals. Because wavelet neural network has the following merits:high precision, learning rate fast etc, we use wavelet neural network in the field of inspection of these fire gases.In the basis of one dimension wavelet neural network, we researched two different structures of wavelet neural networks. And we used them into the inspection of these polluted gases. We used them because the constringent speed of wavelet neural network is very fast, they are not sensitive to the inputs of the network and they have the characteristic that they also can effectively approach the functions or signals.Classical neural networks mostly train the network with back propagation algorithm. But the back propagation algorithm often gets into the minimum value and its constringent speed is slow. Aim at the gases, we design a optimum back propagation algorithm. We improved the Classical back propagation algorithm on two points:one is that we adopt a method of self-adaptive learning rate algorithm that is based on the sign change of the grads, second is that we adopt momentum item. Finally we contrast the result of the experiment, and find that the optimum algorithm can effectively improve the training speed of wavelet neural network and avoid that algorithm get into minimum values. The experiment proved that we can well deal with the gas signals with wavelet neural network. The inspection of these polluted gases result is satisfying.

Source: Engineering Science Paper

Gibbs ensemble: biological ensemble;: The application of statistical mechanics to ecological, neural, and biological networks (International science review series)
Book (Gordon and Breach)

You might also like:

Audio Damage Axon Introduction
Audio Damage Axon Introduction...
Theme Review: Celeste / iPhone, iPod, iPad
Theme Review: Celeste / iPhone, iPod, iPad
Learning Breakthrough Interview: Brain Speed, Efficiency and Neural Networks
Learning Breakthrough Interview: Brain Speed, Efficiency and Neural Networks

15 Things You Shouldn't Be Paying For

2010-08-19 09:27:17 by YouUngratefulTurds

Basic Computer Software -- Thinking of purchasing a new computer? Think twice before you fork over the funds for a bunch of extra software. There are some great alternatives to the name brand software programs. The most notable is OpenOffice, the open-source alternative to those other guys. It's completely free and files can be exported in compatible formats.
Your Credit Report -- You don't have to pay for your credit report. You could sign up for one of the free credit monitoring services online to get a quick look at your credit report. You just have to remember to cancel the service before the end of the free trial. Or you could do one better and visit the only truly free place to see all three of your credit reports for free once a year.
Cell Phone -- The service plan...

Joy to the World – Empathy and Positive Emotions  — Brain Blogger
Psychology researchers used functional magnetic resonance imaging to evaluate the neural networks of 21 adults in response to positive and negative emotional stimuli. ... Annual review of neuroscience, 35, 1-23 PMID: 22715878. Danziger N, Faillenot I, ...

Course Technology MIS2 (with Review Cards and CourseMate with eBook Printed Access Card)
Book (Course Technology)
My Article Network REVIEWS Does My Article Network SUCKS Or WHAT
My Article Network REVIEWS!!! Does My Article Network SUCKS Or WHAT!!!
Franz Vollenweider - Neuronal Networks
Franz Vollenweider - Neuronal Networks
Trading with Neural Nets
Trading with Neural Nets
Oxford University Press, USA Microcosms of the Brain: What Sensorimotor Systems Reveal about the Mind
Book (Oxford University Press, USA)
Cram101 Studyguide for Neural Networks and Learning Machines by Simon Haykin, ISBN 9780131471399 (Cram101 Textbook Outlines)
Book (Cram101)

Related posts:

  1. Neural Networks Review
  2. Neural Networks for Excel
  3. Neural Networks in Perl
  4. Neural Networks reference