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Title: Artificial Intelligence And Neural Networks Presentation
Page Link: Artificial Intelligence And Neural Networks Presentation -
Posted By: project report tiger
Created at: Wednesday 03rd of March 2010 12:02:45 AM
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Artificial Intelligence & Neural Networks


Presented By:
Lim Kyungeun

What is AI?

Acting humanly: The Turing Test approach
Thinking humanly: The cognitive modeling approach
Thinking rationally: The laws of thought approach
Acting rationally: The rational agent approach
The Goals of AI
Example of AI in Real World
The State of The Art

]Thinking humanly: The cognitive modeling approach

The exciting new effort to make computers think ¦ machines with minds, in the full and literal sense. ....etc

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Title: classification and clustering using neural networks
Page Link: classification and clustering using neural networks -
Posted By: seminars on demand
Created at: Friday 25th of June 2010 08:35:01 PM
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Neural networks based on the supervised and unsupervised learning methodologies have been tested for their classification and clustering abilities in the normal as well as hostile conditions. A problem from the NMR (nuclear magnetic spectroscopy) was used as the test for this and it was found that the neural network based on both the paradigms fared better withou feature enhancement. The neural network tuning is the most difficult part in the connectionist pos approach and some sugggestions from this side is incorporated to obtain optimum resu ....etc

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Title: Neural Networks For Location Prediction In Mobile Networks
Page Link: Neural Networks For Location Prediction In Mobile Networks -
Posted By: seminar class
Created at: Friday 22nd of April 2011 01:33:36 PM
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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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Title: neural networks and genomic engineering full report
Page Link: neural networks and genomic engineering full report -
Posted By: computer science technology
Created at: Wednesday 20th of January 2010 02:51:38 PM
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ABSTRACT
With the dawn of the genome era computational methods in the automatic analysis of biological data have become increasingly important. The explosion in the production rate of expression level data has highlighted the need for automated techniques that help scientists analyze, understand, and cluster (sequence) the enormous amount of data that is being produced. Example of such problems are analyzing gene expression level data produced by microarray technology on the genomic scale, sequencing genes on the genomic sc ....etc

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Title: Neural Networks for Handwritten character and Digits
Page Link: Neural Networks for Handwritten character and Digits -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:53:25 AM
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Neural Networks for Handwritten character and Digits
Abstract: This article chronicles the development of an artificial neural network designed to recognize handwritten digits. Although some theory of neural networks is given here, it would be better if you already understood some neural network concepts, like neurons, layers, weights, and back propagation. The neural network described here is not a general-purpose neural network, and it's not some kind of a neural network workbench. Rather, we will focus on one very specific neural network (a ....etc

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Title: A COMPARISON OF ARTIFICIAL NEURAL NETWORKS AND CLUSTER ANALYSIS FOR TYPING BIOMETRICS
Page Link: A COMPARISON OF ARTIFICIAL NEURAL NETWORKS AND CLUSTER ANALYSIS FOR TYPING BIOMETRICS -
Posted By: summer project pal
Created at: Wednesday 02nd of February 2011 11:45:04 PM
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A COMPARISON OF ARTIFICIAL NEURAL NETWORKS AND CLUSTER ANALYSIS FOR TYPING BIOMETRICS AUTHENTICATION
The typing biometrics can be used as a further transparent layer which increases the security of the user authentication. The timeperiod between the individual keystrokes is used as the measure of the typing pattern of the individual which in turn is used to authenticate the user. a fully trained Multi Layer Perceptron (MLP) can be used to produce the weights and thus study the individuals typing pattern. It can also be seen as a clust ....etc

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Title: Neural Networks And Their Applications
Page Link: Neural Networks And Their Applications -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 12:28:39 PM
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Definition
An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, thr ....etc

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Title: fuzzy logic and neural networks full report
Page Link: fuzzy logic and neural networks full report -
Posted By: seminar topics
Created at: Monday 29th of March 2010 01:57:05 AM
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Fuzzy Logic
Philosophical approach
Decisions based on degree of truth
Is not a method for reasoning under uncertainty that probability
Crisp Facts distinct boundaries
Fuzzy Facts imprecise boundaries
Probability - incomplete facts
Example €œ Scout reporting an enemy
Two tanks at grid NV 54 (Crisp)
A few tanks at grid NV 54 (Fuzzy)
There might be 2 tanks at grid NV 54 (Probabilistic)
Apply to Computer Games
Can have different characteristics of players
Strength: strong, medium, weak
Aggressiveness: meek, ....etc

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Title: VLSI FOR NEURAL NETWORKS AND THEIR APPLICATIONS
Page Link: VLSI FOR NEURAL NETWORKS AND THEIR APPLICATIONS -
Posted By: seminar class
Created at: Tuesday 12th of April 2011 02:08:34 PM
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ABSTRACT :
Most of the students of Electronics Engineering are exposed to Integrated Circuits (IC's) at a very basic level, involving SSI (small scale integration) circuits like logic gates or MSI (medium scale integration) circuits like multiplexers, parity encoders etc. But there is a lot bigger world out there involving miniaturization at levels so great, that a micrometer and a microsecond are
literally considered huge! This is the world of VLSI - Very Large Scale Integ ....etc

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Title: VLSI FOR NEURAL NETWORKS AND THEIR APPLICATIONS
Page Link: VLSI FOR NEURAL NETWORKS AND THEIR APPLICATIONS -
Posted By: smart paper boy
Created at: Saturday 30th of July 2011 01:55:59 PM
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ABSTRACT :
Most of the students of Electronics Engineering are exposed to Integrated Circuits (IC's) at a very basic level, involving SSI (small scale integration) circuits like logic gates or MSI (medium scale integration) circuits like multiplexers, parity encoders etc. But there is a lot bigger world out there involving miniaturization at levels so great, that a micrometer and a microsecond are
literally considered huge! This is the world of VLSI - Very Large Scale Integ ....etc

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