how can v use neural networks 2 real  time application?
537503
If your question is how can you use neural networks in a real-time application the answer is:\n\nYou "train" the neural network on statistically normal data and then you "feed" the real-time data to the neural network and then you have your neural network output.  Unless you have a small amount of data there is always some small yet possibly perceivable processing delay.
437960
why not try Danube's Enigma, it is easy and fulfills the requirements of all matlab projects!\n:)
776599
http://www.purplemath.com/modules/fcns2.htm
58914
try some of these:  FORTRAN Monitor System, General Motors Operating System, Input Output System, SAGE, and SOS.
1162096
Any Data-Driven Application i.e. Employees Management System or Home Accommodation or Hotel Online Reservation or any LAN application i.e. Port Scanning or Online Chatting using Winssock or any Commercial website i.e. Industrial Company Cataloge and there is many advance examples showing your defferent skills like DataBase Manibulating and Files folders management and Using State variable and alot...\n\nIf you need more support plz. contact me : zaaaterah@yahoo.com
982625
Epocha   \nGotan Project
818217
Heres a program link. Its free too.
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Zonelabs Zonealarm\nhttp://www.zonelabs.com
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i use ImageAnalyzer. It is good software and free.\nhttp://meesoft.logicnet.dk\ni've been using it for 1 year and had no problems.\nit has loads of buttons and whistles, too.
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In information technology, a neural network is a system of programs and data structures that approximates the operation of the human brain. A neural network usually involves a large number of processors operating in parallel, each with its own small sphere of knowledge and access to data in its local memory. Typically, a neural network is initially "trained" or fed large amounts of data and rules about data relationships (for example, "A grandfather is older than a person's father"). A program can then tell the network how to behave in response to an external stimulus (for example, to input from a computer user who is interacting with the network) or can initiate activity on its own (within the limits of its access to the external world). \nIn making determinations, neural networks use several principles, including gradient-based training, fuzzy logic, genetic algorithms, and Bayesian methods. Neural networks are sometimes described in terms of knowledge layers, with, in general, more complex networks having deeper layers. In feedforward systems, learned relationships about data can "feed forward" to higher layers of knowledge. Neural networks can also learn temporal concepts and have been widely used in signal processing and time series analysis. \n\nCurrent applications of neural networks include: oil exploration data analysis, weather prediction, the interpretation of nucleotide sequences in biology labs, and the exploration of models of thinking and consciousness. In his novel, Galatea 2.2, Richard Powers envisioned a neural network (named "Helen") that could be taught to pass a comprehensive exam in English literature.
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more details? are we talking layer 3 as in netowrk software??\n\nWe need more information!
58254
May be Fuzzy logic. Becuase it reaches to solution faster. Its not Neural networks is unable to solve certain problems, but in reality we just dont want to proove Neural networks can solve certain type of problem, but really apply it. So the combination circuit plays a really important role.\n\nI know that the US Postal service uses Neural networks for reading postal zip code. Statistically human is 70% accurate and takes about a minute on a average. But a NN machine takes about only 5 seconds and is 98% accurate. Its so amanzing that a NN machine is more accurate in reading the stuff that humans invented ( the numerals and alphabet... )\n\nThe other fact being that Neural Network is not complete scientific. Cz it does not perform same way everytime. That is the reason its 98% accurate. So even fuzzy logic must be used by right people for right purpose But its speed is given.... as it operates in discrete/modular levels of numbers in arithmatic.\n\nhttp://www-cse.stanford.edu/classes/sophomore-college/projects-00/neural-networks/Future/
890425
Try downloading quick-time\nCNet.com
67767
Try compuserve.net or .com
269494
Your question is too vague to properly answer.  However, I can suggest looking at mosix for a distributed system.  Types of sensors and what is the ultimate goal of the project will help me to better answer you.
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It's way too early to ask this, so use your fictional imagination.  The application is likely to be extremely dense memory.  More benefit would come from using it for computations for which it is suited.  To build a von Neuman architecture machine, you would need to do a tremendous amount of work just to be as good as today's traditional technology.  I don't think it's particularly suited to neural net computation, and that technology is already short of applications.  NMRI is extremely unlikely, since it enormously increases the cost without any obvious benefit.  The technology is far too immature to answer the other questions.
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try zonelabs\n\nclick on this link for more details\n\ntry downloading zonelabs