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	Artificial neuron - Wikipedia, the free encyclopedia
		The artificial neuron (also called "node") is the basic unit of an artificial neural network, simulating a biological neuron.
		The original artificial neuron is the Threshold Logic Unit first proposed by Warren McCulloch and Walter Pitts in 1943.
		The transfer function of a neuron is chosen to have a number of properties which either enhance or simplify the network containing the neuron.
	en.wikipedia.org /wiki/Artificial_neuron (329 words)

	Bionics (engineering) article - Bionics (engineering) Bionik creativity technique biological evolution sonar radar - ... (Site not responding. Last check: 2007-10-29)
		Examples of bionics results in engineering include hulls of boats imitating the skin membrane of dolphins, sonar, radar and medical ultrasound imaging imitating echolocation of bats, non-stick coating imitating lotus effect.
		Evolutionary computation was also motivated by bionics idea but it took the idea further by simulating evolution 'in silico' and producing well optimized solutions that had never appeared in nature.
		For example, in computer science, cybernetics tries to model actual organic structures that make us intelligent, while artificial intelligence tries to model the intelligent function regardless of the particular way it can be achieved.
	www.what-means.com /encyclopedia/Bionics_(engineering) (283 words)

	Artificial neuron -- Facts, Info, and Encyclopedia article (Site not responding. Last check: 2007-10-29)
		The artificial neuron (also called "node") is the basic unit of an (additional info and facts about artificial neural network) artificial neural network, simulating a biological (A cell that is specialized to conduct nerve impulses) neuron.
		The original artificial neuron is the (additional info and facts about Threshold Logic Unit) Threshold Logic Unit first proposed by (additional info and facts about Warren McCulloch) Warren McCulloch and (additional info and facts about Walter Pitts) Walter Pitts in 1943.
		Crucially, for instance, any Artificial_neural_network#Multi-layer_perceptron using a linear transfer function has an equivalent single-layer network; a non-linear function is therefore necessary to gain the advantages of a multi-layer network.
	www.absoluteastronomy.com /encyclopedia/a/ar/artificial_neuron.htm (408 words)

	Neural Networks & Connectionist Systems
		These artificial neurons could learn about relationships based on a training set of solutions and eventually became stacked into 'layers,' so the output of one neural network could form the input of another.
		Every neuron has a transfer function, typically non-linear, that generates a single output value from all of the input values that are applied to the neuron.
		Artificial neural networks have proved useful in a variety of real-world applications that deal with complex, often incomplete data.
	www.aaai.org /AITopics/html/neural.html (3680 words)

	About the NuSphere Name: About Us: NuSphere Corporation (Site not responding. Last check: 2007-10-29)
		We are not sure when Noosphere first appeared in a software context, but one we like is "Pierre Teilhard de Chardin and the Emergence of Machina Sapiens," Artificial Intelligence published April 27, 1997.
		Nu is the robotics shorthand for a neural artificial neuron.
		(Yes, it sounds redundant, but we also write Nv for a nervous artificial neuron).
	www.nusphere.com /about/logo.htm (596 words)

	FAQTs - Knowledge Base - View Entry - Neural network: Link: Can you give an overview of links?
		faqts : Computers : Software : Artificial Intelligence : Neural network
		Dobb's Artificial Intelligence Newsletter http://www.ddj.com/maillists/aiexpert --- Hopfield net http://www.itee.uq.edu.au/~cogs2010/cmc/chapters/Hopfield/ --- Annealing in spin glasses.
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	www.faqts.com /knowledge_base/view.phtml/aid/34415/fid/1760 (149 words)

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