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The project ‘gdr’ (GNU Diary Reminder).
Filed under: Projects, — Leave a comment September 20, 2012 Within the framework of the course “Operating Systems II – Laboratory” (Department of Informatics and Communication s, T.
E.
I.

Of Central Macedonia) we were asked to choose one of the 20 available projects to achieve

My choice was project 10, whose goal was to implement a birthday and celebration s alert system.
Picture of the program: For more information you can get the project itself: ‘gnu-diary-reminder‘ Rate this:.
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« The project ‘OSHACKERS’ ( Operating System  Hackers).
The project ‘nxnes’ (NxN Equalisations Solver).
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First seminar on the open source electronics platform ARDUINO.
Filed under:.

Events — Leave a comment October 21

2010 The Association of Greek Users and Friends of Free Software / Open Source Software invites you to the new presentation in the new round of free courses and presentations organized with a view to deepening the knowledge and alternative use and exploitation of FS / OSS: Open Source Electronics Platform ARDUINO The presentation will be made by the Informatics Scientist and Communications Engineer as well as Arduino hacker, Efstathios Chatzikyriakidis.
The event will take place at 13:00 on Sunday, October 24, 2010 in the Computer Laboratory of the Department of Economics, University of Macedonia.

41.088310 23.542815 Rate this:

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« Infosystem 2010 – T.
E.
I.
of Central Macedonia.
Completion of the first seminar of the open source electronic platform ARDUINO.
».
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Self-Organizing Map (Neural Algorithm)

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— Leave a comment February 12

2011 The Self-Organizing Map algorithm belongs to the field of Artificial Neural Networks and Neural Computation.

More broadly it belongs to the field of Computational Intelligence

The Self-Organizing Map is an unsupervised neural network that uses a competitive (winner-take-all) learning strategy.
It is related to other unsupervised neural networks such as the Adaptive Resonance Theory (ART) method.
It is related to other competitive learning neural networks such as the the Neural Gas Algorithm, and the Learning Vector Quantization algorithm, which is a similar algorithm for classification without connections between the neurons.
Additionally, SOM is a baseline technique that has inspired many variations and extensions, .

Not limited to the Adaptive-Subspace Self-Organizing Map (ASSOM)

Inspiration The Self-Organizing Map is inspired by postulated feature maps of neurons in the brain comprised of feature-sensitive cells that provide ordered projections between neuronal layers, such as those that may exist in the retina and cochlea.
For example, there are acoustic feature maps that respond to sounds to which an animal is most frequently exposed, and tonotopic maps that may be responsible for the order preservation of acoustic resonances.
Strategy The information processing objective of the algorithm is to optimally place a topology (grid or lattice) of codebook or prototype vectors in the domain of the observed input data samples.
An initially random pool of vectors is prepared which are then exposed to training samples.
A winner-take-all strategy is employed where the most similar vector to a given input pattern is selected, then the selected vector and neighbors of the selected vector are updated to closer resemble the input pattern.
The repetition of this process results in the distribution of codebook vectors in the input space which approximate the underlying distribution of samples from the test dataset.
The result is the mapping of the topology of codebook vectors to the underlying structure in the input samples which may be summarized or visualized to reveal topologically preserved features from the input space in a low- dimensional projection.
Implementation http://www.cleveralgorithms.com/nature-inspired/neural/som.rb Rate this:.
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« Genetic Algorithm (Evolutionary Algorithm)

Artificial Immune Recognition System (Immune Algorithm)

».
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