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	Perceptron - Wikipedia, the free encyclopedia
		The perceptron is a type of artificial neural network invented in 1957 at the Cornell Aeronautical Laboratory by Frank Rosenblatt.
		Although the perceptron initially seemed promising, it was quickly proved that perceptrons could not be trained to recognise many classes of patterns.
		In facts, perceptrons are only capable of learning linearly separable patterns; in 1969 a famous monograph entitled Perceptrons by Marvin Minsky and Seymour Papert showed that it was impossible for these classes of network to learn an XOR function.
	en.wikipedia.org /wiki/Perceptrons (548 words)

	generation5 - Perceptrons
		Learning on a perceptron is guaranteed, as stated by the Perceptron Convergence Theorem which states that if a solution can be implemented on a perceptron, the learning rule will find the solution in a finite number of steps.
		Perceptrons can only classify data when the two classes can be divided by a straight line (or, more generally, a hyperplane)—this is called linear separation.
		The first perceptron balances at {0,1,1} (remember, the first element is the bias), the second at {2,-1, -1} and the final one at {-1, 1, 1}.
	www.generation5.org /content/1999/perceptron.asp (968 words)

	Cprogramming.com Tutorial: Understanding and Using Perceptrons
		Think of a perceptron as a node of a vast, interconnected network, sort of like a data tree, although the network does not necessarily have to have a top and bottom.
		Perceptrons enable a pattern to be broken up into simpler parts that can each be modeled by a separate perceptron in a network.
		So, even though perceptrons are limited, they can be combined into one powerful network that can model a wide variety of patterns, such as XOR and many complex boolean expressions of more than one variable.
	www.cprogramming.com /tutorial/AI/perceptron.html (1116 words)

	Perceptrons
		Perceptrons are among the earliest and most basic models of artificial neural networks, yet they are at work in many of todayís complex neural net applications.
		Using the simple two-layer perceptron as an example, there is one layer of input nodes (layer 1) and one layer of output nodes (layer 2).
		Although the simplicity of the original perceptron led skeptics to doubt its usefulness, its overall effect was to open the way for a myriad of applications in artificial intelligence.
	ei.cs.vt.edu /~history/Perceptrons.Estebon.html (1851 words)

	Perceptron Selected as Winner of 2003 PACE Award - Robotics Online (Site not responding. Last check: 2007-11-05)
		Perceptron was awarded the honor for its AutoGauge FMS (Flexible Measurement System) manufacturing process improvement system.
		Perceptron's AutoGauge FMS uses precision laser sensors integrated with a variety of industrial robots in the manufacturing process to help automakers improve quality, reduce scrap and rework, and significantly shorten new product launch times.
		Perceptron was one of 12 winners out of 22 finalists and nine companies that received honorable mentions.
	www.roboticsonline.com /public/articles/details.cfm?id=968 (590 words)

	The Perceptron
		The Perceptron is a single layer neural network whose weights and biases could be trained to produce a correct target vector when presented with the corresponding input vector.
		The perceptron is trained to respond to each input vector with a corresponding target output of either 0 or 1.
		The first two show succesful runs of the perceptrons, the third is an example of how the perceptron fails to classify a set of non linearly separable vectors.
	www.cs.bgu.ac.il /~omri/Perceptron (825 words)

	The Perceptron
		The perceptron, more precisely, the theory of statistical separability, seems to come closer to meeting the requirements of a functional explanation of the nervous system than any system previously proposed.
		Basically, the perceptron is a theoretically parallel computation device composed of (i) a layer of sensory units (S-unit) which transduce physical energy (e.g.
		Hence, as a true learning network, perceptrons were limited to just a layer of sensory units connected directly to a layer of response units, with no intervening layers.
	neuron-ai.tuke.sk /NCS/VOL1/P3_html/node18.html (704 words)

	Perceptron's AutoGuide® System to Optimize Body Fit On 2004 Model Mercedes-Benz - Robotics Online (Site not responding. Last check: 2007-11-05)
		Perceptron's laser sensors and AutoSolve(TM) software algorithms measure the exact position of each vehicle in 3-dimensional space and calculate ‘‘best fit’‘ position information to guide industrial robot paths during the assembly operation.
		Perceptron's first generation robot guidance systems were developed in close cooperation with Mercedes-Benz production experts.
		Perceptron produces information-based process improvement solutions for industry as well as technology components for non-contact measurement and inspection applications.
	www.roboticsonline.com /public/articles/details.cfm?id=1181 (443 words)

	Perceptron Announces Legal Action Against LMI Technologies, Inc. - Machine Vision Online (Site not responding. Last check: 2007-11-05)
		Perceptron has been engaged in another legal action against LMI since December, 2001 to collect a judgment it was awarded against an LMI subsidiary, Sensor Adaptive Machines, Inc. (SAMI) by the United States District Court for the Eastern District of Michigan in December, 1998 following an 8 week trial.
		Perceptron alleges that upon the issuance of the federal court judgment in favor of Perceptron, SAMI’s assets and intellectual property were transferred to LMI and its affiliate, Diffracto Ltd..
		Perceptron was served on May 30, 2003, with a complaint from LMI charging infringement under two of the patents transferred to LMI from SAMI.
	www.machinevisiononline.org /public/articles/details.cfm?id=1626 (388 words)

	Electronic Neural Network (Site not responding. Last check: 2007-11-05)
		When the perceptron neuron memories are trained or programmed during the actual operation of the perceptron, the perceptron teaching method is called runtime learning or programming.
		This particular perceptron may not produce one-to-one data because the accuracy of the calculations is limited and the pixel color resolution is limited compared to the accuracy of the produced weight values.
		Perceptron accuracy may increase exponentially with number of nodes in a perceptron much like a truth table increasing in size with number of inputs i.
	www.spots.ab.ca /~belfroy/ArtificialInt/neuralNetwork.html (3503 words)

	The Perceptron Paradigm (Site not responding. Last check: 2007-11-05)
		the elementary perceptron is a two-layer, heteroassociative, nearest-neighbour pattern matcher.
		the LMS algorithm is identical to the perceptron convergence procedure except that the hard limiting nonlinearity is made linear or replaced by a threshold-logic nonlinearity.
		the perceptron is ideally suited to pattern matching applications that are inherently linear and only require a two-class response.
	hebb.cis.uoguelph.ca /~skremer/Teaching/27642/BP/node2.html (922 words)

	Perceptron (Site not responding. Last check: 2007-11-05)
		The perceptron learning algorithm does not terminate if the learning set is not linearly separable.
		The pocket algorithm is a modification of the perceptron rule proposed by S. Gallant (1990).
		pp 95-103 (adaline and perceptron); pp 140-148 (backprop)
	diwww.epfl.ch /mantra/tutorial/english/apb/html/theory.html (607 words)

	Xpounded MCP Perceptron (Site not responding. Last check: 2007-11-05)
		Along with the above, the following are required for the perceptron to be brought to life...
		The perceptron needs to be able to calculate its response to any given input.
		Since the activation is above the threshold the current value of the perceptron is 1 (indicating an excited perceptron).
	www.xpounded.netfirms.com /xmcp.html (628 words)

	LMI Sues Perceptron and USNR - Machine Vision Online (Site not responding. Last check: 2007-11-05)
		Perceptron is a supplier of machine vision systems to the automotive and other industries.
		LMI informed both Perceptron and USNR of the allegations of infringement in January 2003 and again in writing in April 2003.
		LMI has raised with Perceptron and USNR the matter of infringement of other patents in LMI’s portfolio.
	www.machinevisiononline.org /public/articles/details.cfm?id=1627 (236 words)

	Perceptron Code (Site not responding. Last check: 2007-11-05)
		;;;; PERCEPTRON is a simple system for learning from examples which uses the ;;;; perceptron learning procedure to adjust a set of weights on a single ;;;; linear threshold unit until all of the training examples are correctly ;;;; classified.
		The perceptron convergence theorem assures that the system ;;;; will halt if the examples are linearly separable but if not the system ;;;; may not halt.
		This program may be freely ;;;; copied, used, or modified provided that this copyright notice is included ;;;; in each copy of this code and parts thereof.
	ranger.uta.edu /~cook/ai1/lectures/l9/node44.html (290 words)

	generation5 - Perceptron 'OR' Project
		A perceptron will 'fire' (output is 1) if the net input (sum of the inputs multiplied by their weights) is greater than or equal to one.
		We then compare the output of the perceptron with the desired output, and adjust the weights accordingly.
		A single perceptron can classify any linearly separable data, therefore try testing your perceptron code with a multitude of data after it works with the OR gate.
	www.generation5.org /content/2001/or.asp (370 words)

	Module Documentation - AI::Perceptron 0.01 (Site not responding. Last check: 2007-11-05)
		The Number of elements in W must be equal to the number of inputs plus one.
		This is because W[0] is the Perceptron's threshold (so W[1] corresponds to the first input's weight).
		This uses the Stochastic Approximation of the Gradient-Descent model to adjust the perceptron's weights in such a way to achieve the desired outputs given in the training examples.
	aspn.activestate.com /ASPN/CodeDoc/AI-Perceptron/Perceptron.html (198 words)

	Perceptron News
		Perceptron News continually updated from thousands of sources around the net.
		Perceptron announces stock repurchase program; will spend up to $5 million
		Perceptron, Inc. (NASDAQ: PRCP) today announced that Harley-Davidson is using an AutoGauge(TM) quality measurement system in its new Softail frame fabrication line at the company's recently expanded York, PA...
	www.topix.net /com/prcp (242 words)

	Perceptron Learning Applet (Site not responding. Last check: 2007-11-05)
		This applet demonstrates a simple form of supervised learning called the perceptron learning rule.
		Using this applet, you can train the perceptron to act as a binary logic unit.
		However, a problem arises when trying to train the perceptron on the XOR (or XNOR) function.
	diwww.epfl.ch /mantra/tutorial/english/perceptron/html (216 words)

	Cybernetics - A Definition (Site not responding. Last check: 2007-11-05)
		Warren McCulloch and Walter Pitts were the first to propose a synthesis of neurophysiology and logic that tied the capabilities of brains to the limits of Turing computability [McCulloch and Pitts 1965].
		However the fashion of symbolic computing rose to squelch perceptron research in the 1960s, followed by its resurgence in the late 1980s.
		However this is not to say that current fashion in neural nets is a return to where cybernetics has been.
	www.pangaro.com /published/cyber-macmillan.html (1379 words)

	perceptron - OneLook Dictionary Search
		We found 5 dictionaries with English definitions that include the word perceptron:
		Tip: Click on the first link on a line below to go directly to a page where "perceptron" is defined.
		Perceptron : The Computational Beauty of Nature [home, info]
	www.onelook.com /cgi-bin/cgiwrap/bware/dofind.cgi?word=perceptron (98 words)

	Parallel Perceptron Design (Site not responding. Last check: 2007-11-05)
		Two serial Lisp perceptron programs can be viewed or downloaded from the home page.
		``Perceptron2'' lets the user input the number of perceptron nodes and the number of examples, and the concept to learn is generated automatically.
		I would like you to design a parallel version of this second perceptron in which each node of the perceptron is stored on a separate processor.
	ranger.uta.edu /~cook/pai/p3/node1.html (192 words)

	Perceptron (Site not responding. Last check: 2007-11-05)
		Perceptron's non-contact measurement technology can help you reduce manufacturing costs from design to production.
		Zero defects and variation reduction mean reduced scrap, better quality and lower overall manufacturing costs.
		Perceptron's 3D Scanning Systems can be easily integrated with most leading, point cloud processing applications.
	www.perceptron.com (44 words)

	search.cpan.org: AI::Perceptron - An implementation of a Perceptron
		The only mode of training the weights supported at this point in time is the Stochastic Approximation of the Gradient-Descent model.
		This uses the Stochastic Approximation of the Gradient-Descent model to adjust the perceptron's weights in such a way to achieve the desired outputs given in the training examples.
		This package is free software; you can redistribute it and/or modify it under the same terms as Perl itself.
	search.cpan.org /dist/AI-Perceptron-0.01/Perceptron.pm (209 words)

	Multilayer Perceptron (Site not responding. Last check: 2007-11-05)
		Multilayer perceptrons (MLPs) are feedforward neural networks trained with the standard backpropagation algorithm.
		They are supervised networks so they require a desired response to be trained.
		They have been shown to approximate the performance of optimal statistical classifiers in difficult problems.
	www.nd.com /definitions/mlp.htm (73 words)

	Java Program
		This program applies the perceptron learning rule to generate a separating surface for a two class problem (classes X and O).
		The X's are represented by a Red Box while the O's are represented by a Purple Box.
		To change the class label, select one of the radio buttons (X for class 1, O for class 2).
	neuron.eng.wayne.edu /java/Perceptron/New38.html (265 words)

	EETimes.com - Press Release - Perceptron Announces New Member of the Board of Directors (Site not responding. Last check: 2007-11-05)
		Perceptron Announces New Member of the Board of Directors PLYMOUTH, Mich., Aug. 20 /PRNewswire-FirstCall/ -- Perceptron, Inc. (Nasdaq: PRCP) today announced that James A. Ratigan, 55, was appointed as a member of the Company's Board of Directors.
		Most recently, beginning in 1997, he served as the Executive Vice President and Chief Financial Officer of Orapharma, Inc., a publicly held specialty pharmaceutical company that was acquired by Johnson and Johnson, Inc. in 2002.
		He brings a new dimension to an already superb Board of Directors." About Perceptron Perceptron produces information-based process improvement solutions for industry as well as technology components for non-contact measurement and inspection applications.
	www.eetimes.com /showPressRelease.jhtml?articleID=94427 (614 words)

	PERCEPTRON (Site not responding. Last check: 2007-11-05)
		The idea for this image is based on James Patrick Hogan's book GIANT'S STAR.
		The perceptron is a communication device with which men establish a very special contact with the inhabitants of a distant planet.
		Should you wish to read that book, it's a trilogy, do me the favour to start with the first: INHERIT THE STARS it's worth it.
	geocities.com /Paris/Arc/4355/necatipamuk/brycepict/p_perceptron.html (100 words)

	Simple3D -- 3D Scanners, Digitizers, and Software for 3D Models and Measurements
		Perceptron provides laser line scanner and software for integrating with articulated arms
		Polhemus has come out with a new model of the FastScan handheld laser scanner.
		Perceptron can be mounted on an articulated arm
	www.simple3d.com (2951 words)

	History of Imagination Engines, Inc. (Site not responding. Last check: 2007-11-05)
		Thaler teaches a large multilayer perceptron several popular Christmas carols and then proceeds to destroy it through simulated neuron death.
		During such near-death simulations, with all meaningful inputs denied the net, the perceptron's outputs are dominated not by nonsense, but meaningful new lyrics such as "in the end all men go to good earth in an eternal silent night.
		The journal Neural Networks publishes an article by Thaler entitled "'Virtual Input' Phenomena within the Death of a Simple Pattern Associator." In this article, he describes an experiment in which a simple multilayer perceptron, denied meaningful inputs and synaptically perturbed produces a stream of patterns that consist primarily of memories stored within that net.
	www.imagination-engines.com /history.htm (3339 words)

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