... .34%. Bayesian Classifier appears to be the fastest classification technique providing the best classification accuracy for our experiments. Finally, we used Supervised Neural Networks as a classification technique for the recognition of both static and dynamic signs. We show that with Neural Networks, static signs can be recognized with an average error of 20.18%. Our research is distinct and novel in the following three ... used in the past for the analysis of preprocessed haptic data; however, as far as we know this classification technique was never used for the analysis of raw hapti...

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... its conception, has grown from a dozen researchers, to thousands of engineers and specialists; from programs capable of playing checkers, to systems designed to diagnose disease (Dumm p. 4). In the article Artificial Neural Networks by Alexx Key source: http://www.computerworld.com/softwaretopics/software/appdev/story/0,10801,57 545,00.htm1 we can find out more about the artificial ... neural networks and Artificial intelligence. "The first artificial neural network was invented in 1958 by psychologist Frank Rosenblatt. Called Perceptron, it was intended to model how the human brain proc...

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... reflect on new information and relate it to what is already known (4). Leamnson explains, while brain connections are vulnerable to aging, neural networks have the potential to grow more sophisticated as we age, making the brain more responsive. The human brain increases in mass several ... a subconscious level as it is processed by the brain. The mature human brain is comprised of billions of neurons, which interact and create elaborate networks that communicate through neurotransmitters. Neurons that communicate at contact are called synapses (3). "The more times a synapse passes a sig...

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... leader in the field of AI is actually not a business, but MIT's Artificial Intelligence Laboratory. It does more ground breaking research in the all fields of AI, including robotics and neural networks, than any other facility in the world. First I will describe the different techniques and fields that fall under AI. The first technique that is used to create intelligent systems is ... being used is bottom-up. That is the arrangement of data into a complex system where all information is connected, like a brain, which is why it is also referred to as a neural network. It is extremely co...

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... it? In short, fMRI is a functional neuroimaging procedure which measures and view brain activities by detecting the changes of blood oxygenation. It helps researchers to create maps of the brain's networks as they process thoughts, sensations, memories and motor commands and it also detects early signs of diseases, especially Alzheimer's disease. Therefore, researchers are now turning fMRI into a new kind of ... lie detector by mapping neural circuits of behind deception. An experiment about how fMRI can be used to detect one's lie is introduced in the article. In this experiment, a par...

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... the military, in such cases as radar and sonar, "smart" bombs, and in every vehicle. DSP accomplishes a wide variety of objectives such as filtering, speech recognition, image enhancement, data compression, neural networks, and much more. One widely used device that uses Digital Signal Processing is the Compact Disk. This revolution in music changed the way music can be reproduced. CD's music quality ... ...

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... . A greater understanding of the brain yields much more than scientific discovery. Hope can be given to many people with diseases dealing with the brain. A recent movement towards developing advanced artificial neural networks (computer processing structures modeled from the human brain) promises, more proficient, and efficient machines. Most appealing to me, however, is the unknown. Resources are not as readily available as in ... ...

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