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Posts tagged "neural"

Forex Flash: Global GDP growth forecasts trimmed – Merrill Lynch

Keep up with FOREX news. China still slowing in the 3rd qtr.

Forex Flash: Global GDP growth forecasts trimmed – Merrill Lynch

“FXstreet.com (Barcelona) – Markets were surprised on the downside with the Chinese activity data, as the slowdown seems to be extending into 3Q. The Euro area activity is also extending weakness, noted by the softer industrial production, and India has …”
http://community.nasdaq.com/News/2012-08/forex-flash-global-gdp-growth-forecasts-trimmed-merrill-lynch.aspx%3Fstoryid%3D162923

It’s simple, but it needs to be stated over and over – make informed decisions.

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Posted by JasonRocker - August 11, 2012 at 12:48 pm

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Does “neural network” mean nervous system?

Question by : Does “neural network” mean nervous system?
And what does nervous system/neural network mean??

Best answer:

Answer by Brian B
i think so

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Posted by JasonRocker - January 2, 2012 at 10:46 am

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I want ti learn AI/ neural network. Can any one suggest how and where to start?

Question by abhinav.nishant: I want ti learn AI/ neural network. Can any one suggest how and where to start?
Any books , websites or does any one know someone who would be willing to be a mentor for me..
well i am very much good with c/c++ and other lang as well like java n all(bachelors in engg with IT as major)

Best answer:

Answer by butchtroll
Hmm… This has held some of my interest, consider a real neural network, a network of signal carriers using electrical impulses for transmission of information along individual nerves(neurons) and chemical transmitters from nerve to nerve (synapses). Nerves act as “majority gates” each neuron may receive many signals on its inputs(axons) the majority input determines the neurons signal on its output(dendrite). As a signal travels from neuron to neuron the chemicals called neurotransmitters are somewhat depleted leaving somewhat of a ghost image of the message(s) in the neural network, the support system for the neural network will enhance the synapse if depletion continues(short term memory), if this is not sufficient, non-committed neurons are recruited to help handle the messages and if necessary new neural paths are created(long term memory). It has been difficult for man to duplicate this system digitally, however I think it might just be possible that he has built such a network inadvertently! The internet behaves in a fashion very similar to a neural network, as do many other information systems. I believe your best bet to learn more about AI is to search for these types of systems, learn more about them, learn more about biological neural systems, compare them and see where it leads you.

Please keep in touch and let me know what you discover, I do have an interest.

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Posted by JasonRocker - December 28, 2011 at 10:59 am

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Natural neural network?

Question by CL K: Natural neural network?
what is definition of natural neural network?it have what difference with the ANN?

Best answer:

Answer by John D
Use your brain.

Seriously, your brain is a natural neural network. As is a worm’s brain, a cat’s brain, and a flea’s brain. An artificial neural network is one that someone has created, either in hardware as an electronic network or in software.

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Posted by JasonRocker - December 21, 2011 at 12:49 am

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Suggest Project to do in Artificial Intellegence ( Neural Network, expert system etc)?

Question by lostinlife: Suggest Project to do in Artificial Intellegence ( Neural Network, expert system etc)?
I have to do a project for my Artificial Intellegence class…..i am totally new to this field….

the project should be do able not too complex or hi-fi.

any suggestion regarding this will be great help.

i am thinking of doing project either in neural network or expert system….

please suggest.

Best answer:

Answer by just “JR”
In my early years… (20 years ago?)…
I did a simple project on neural networks:
- Make hard wood numbers 0-9, same height.
- Make a square sensor array, say, 10×10
- Connect each sensor to an input of a neural network
- Drop a number on the sensor: the shadow it makes gives 100 input values to the NN.
- TEACH the neural network to recognise the “right” number.
- The more you “teach” it, the better it becomes (even when you drop the number upside down!)
Worked well! and, believe me, it is not “that” simple…
(Now, of course, we use image analysis…)

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Posted by JasonRocker - December 20, 2011 at 2:47 am

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what does “expertext” , “neural network” terms mean?

Question by : what does “expertext” , “neural network” terms mean?
i want to know a simple definition and an example of
1. expertext
2. neural network
one more term

3. CIM system

Best answer:

Answer by Ronald
Expertext is a hypertext expert system. It has predicates at the nodes and implications on the links. A neural net is an artificial intelligence system that uses a structure mimicing the living neurons system.

CIM is Computer Integrated Manufacturing where computer tools are used to manage the entire production from design to engineering to production to marketing etc…

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Posted by JasonRocker - December 18, 2011 at 11:04 am

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how can i do a stock market prediction using a neural network?

Question by Dinuka U: how can i do a stock market prediction using a neural network?

Best answer:

Answer by Ryan
The easy way is to use the wet one in your head. You use a university to train it instead of a more traditional backprop, though.

Barring that, of course, there are a couple significant challenges here. First, you need to recognize and understand the characteristics of the ANN approach. You need to know how big of a network you’re talking about… three layers is all fine and good, but you’re going to need to know how many nodes to work with. The most significant problem, though, is the inputs… to predict prices with any kind of accuracy, you’d need to be able to track, input and train on at least some variables that affect price. The purely numerical ones (the day of the week, yesterday’s price, the index prices, etc) are fairly easy, but you’ll need to account for everything else, too… people’s minds can change for totally unrelated occurrences, they may blindly follow trends (meaning you’ll need to loop some of your output back) or go against them. They may buy or sell in large quantities because of what analysts say on TV, whether or not it makes sense. You may be able to model a lot of that with statistical models, but the devil is in syncing the timing to reality.

Bottom line, it’s an interesting problem. Solve it well, and you’ll never need to work again ;)

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Posted by JasonRocker - December 16, 2011 at 7:15 pm

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Q&A: is it possible to have a human unconscious brain alter and connected to some kind neural network?

Question by jojoyo: is it possible to have a human unconscious brain alter and connected to some kind neural network?

Best answer:

Answer by sargeloda2001
george bush to carl rove

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Posted by JasonRocker - December 15, 2011 at 2:34 am

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Do Neural Networks in Sports Predictions work?

Question by Codo: Do Neural Networks in Sports Predictions work?
Does using a Neural Network in sports prediction work well? I understand it can work to some extent, but can it actually beat the odds of bookmakers consistently if used correctly with adequate historical data?

If you dont know what Neural Networks are, please dont answer to point score, wiki it.

Best answer:

Answer by tlbs101
They are still only as good as the information put into them. If a human brain cannot predict the actual future, then neither can a neural network — even if that neural net is as ‘perfect’ as a human brain.

Can a neural net improve the odds of a prediction? yes and no.

Yes, because it will not be influenced by emotion, or ‘homerism’. It will work with, ‘just the facts’. If the formulas that are used are very good and the data is very good, the neural net can actually learn as time goes on and it can have a high rate of success (but not even a neural net can be perfect).

No, because of the same argument above — it is only as good as the formulas and data you provide it with. It will make mistakes in predictions.

It could be something as simple as; Jamie Moyer ate a custard-donut 2 hours before the game instead of his regular granola snack, so his sugar level spiked and started to drop in the 7th inning — so he pitches a strike 2 mph slower than he should have and Utley gets his (game winning) 21st homer. There is almost no way a neural net could have picked up on that one.

.

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Posted by JasonRocker - December 13, 2011 at 10:31 am

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Q&A: What is perceptron coefficient in neural network?

Question by pinku_27babypink: What is perceptron coefficient in neural network?

The aim of my project is to transfer compressed text data over internet and recover the data losslessly at the receiving end using ANN predictors.
Text: Neural networkASCII value of Text: 78,101,117,114,97,108,32,110,101,116,119,111,114,107First number:78
Residues: 23(101-78), 16(117-101),-3,-17, 76,-76, 78,-9, 15, 3,-8, 3,-7
Now i have to train the neural network to predict residue value.so for example if we take first 12 residue values the ANN has to predict the next, that is, 13th residue value.
Once residues are recollected along with the first original number, predictor coefficients will be used to generate the original data series. Using the predictor coefficients an ANN identical to the ANN at the source is created.I want to know how should the input be given to the neural network and how it will predict the next value in the residue series?How can we create an identical ANN at the receiver’s end using perceptron coefficient, that can generate the same series of residue?

Best answer:

Answer by kae_verens
the “coefficient” in a neural network refers to a value which is used to determine how important a certain input is to a node.

In other words, the coefficients help determine whether a certain input value is considered important to the node or not.

If the coefficient is strong (very far for 0, positively or negatively), then the input is considered to be very important to that node.

There is one coefficient for every input.

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Posted by JasonRocker - December 9, 2011 at 8:22 am

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