Abstract
We present matrix network coding methods that are
naturally amenable to a distributed implementation method, i.e.,
do not require the knowledge of network topology, and that are
suitable for network error correction. First, the Singleton bound
can be K-fold increased by employing a K×K matrix coefficient.
Moreover, we prove that matrix network coding outperforms
linear network coding, since it corrects more errors than linear
network coding, while the amount of header overhead per packet
can be kept the same by reduci ....etc

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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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i wanna matlab code for ADL, thanks NBers. ....etc

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i m lukng for papers on low cost ,cheap eye gaze techniques without neural network and artificial intelligence after 2010 from acm,IEEE or elsevier,springer etc
kindly help ....etc

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Adaptive Integral Position Control Using RBF Neural Networks for
Brushless DC Linear Motor Drive
Abstract
The paper presents an adaptive integral positioncontroller usingRBF (Radial Basis Function) neural networks (NNs)for a brushless DC linear motor. By assuming that the upper boundsof the nonlinear friction and force ripple, an RBF NN is used forapproximating the friction, the force ripple and the load; an adaptivebackstepping control with integral action is then proposed to achieveposition tracking of the linear motor. The paramete ....etc

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A Comparison of Genetic Algorithm & Neural Network (MLP) In Patient Specific Classification of Epilepsy Risk Levels from EEG
Signals –IEEE- – MATLAB

Abstract—This paper is aimed to compare the performance of a
Genetic Algorithm (GA) and Multi- Layer Perceptron (MLP)
Neural network in the classification of epilepsy risk level from
Electroencephalogram (EEG) signal parameters. The epilepsy risk
level is classified based on the extracted parameters like energy,
variance, peaks, sharp and spike waves, duration, events and co ....etc

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Combined Economic and Emission Dispatch using RBF neural network

Under the guidance of
Dr. N. Subrahmanyam
Presented by
B. Shiva Kumar

Topics
¢ Introduction
¢ CEED
¢ RBF
¢ Algorithms
¢ OVERALL PROCESS DESCRIPTION
¢ CEED USING LAMBDA TECHNIQUE
¢ CLUSTERING TECHNIQUE
¢ CEED USING RBF
¢ Case studies
¢ 3GEN
¢ 6GEN
¢ 15GEN
¢ Conclusion




Introduction of work
¢ Formulatin ....etc

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give me difference between static huffman coding and dynamic huffman coding. ....etc

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i m looking for the matlab code for ADL, i hope to be help. ....etc

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seminar report of 3d solar cell technology,ppt,advantages, ....etc

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