Hopfield networks


One of the earliest recurrent neural networks reported in literature was the auto-associator independently described by Anderson and Kohonen. The auto-associator network. All neurons are both input and output neurons, i.e., a pattern is clamped, the network iterates to a stable state, and the output of the network consists of the new activation values of the neurons. The Hopfield network is created by su ....etc

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Face recognition using laplaction face at java

The face recognition is a fairly controversial subject right now. A system such as this can recognize and track dangerous criminals and terrorists in a crowd, but some contend that it is an extreme invasion of privacy. The proponents of large-scale face recognition feel that it is a necessary evil to make our country safer. It could benefit the visually impaired and allow them to interact more easily with the environment. Also, a computer vision-based authentication system could be pu ....etc

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can u send me the mat lab coding for multiple face detection?
im doing final yera project, if u do't mind me means , u can help me to do our project ....etc

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its good

i want to know more and more about this matter

thanks a lot


mr.alizadeh ....etc

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Hi am Paul i would like to get details on hopfield in face detection matlab code. My friend said hopfield in face detection matlab code will be available here now am testing biometrics recognition system. i need help on this. thank you. ....etc

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hai iam kowsi... i just want a source code and report for face detection.... ....etc

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Rules of Designing Routing Metrics for Greedy,
Face, and Combined Greedy-Face Routing

Yujun Li, Yaling Yang, and Xianliang Lu




Abstract—


Different geographic routing protocols have different requirements on routing metric designs to ensure proper operation.
Combining a wrong type of routing metrics with a geographic routing protocol may produce unexpected results, such as geographic
routing loops and unreachable nodes. In this paper, we propose a novel routing algebra system to investigate t ....etc

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INTRODUCTION
Economic dispatch is one of the most important optimization
problems in power system operation and forms the basis of
many application programs. Conventional methods employ
the widely used Lagrangian approach. However in the case of
segmented piece-wise quadratic function, corresponding to the
valve point loading or mixed fuel fired inputs, conventional
approach fails to obtain an optimal solution. In this context,
several approaches have been proposed using non-conventional
optimization approaches, including artif ....etc

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In the name of God

Hi
 I,m student in electerical engineering of university mashhad.
I need help on matlab code face detection fuzzy will be available here and now i am living at Iran and i last studied in the university Mashhad and now am doing this project ....etc

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Abstract

This paper presents an adaptive Hopfield neural network (AHNN) based methodology, where the slope of the activation function is adjusted, for finding approximate Pareto solutions for the multi-objective optimization problem of emission and economic load dispatch (EELD).We have placed emphasis on finding solutions quickly, rather than the global Pareto solutions, so that our algorithm can be employed in large on-line power systems where variations in load are quite frequent. To ena ....etc

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