self-organizing learning networks
A two stage game theoretic approach for self organizing networks
... In this paper, we have investigated the idea of a hier- archical learning game for fractional frequency reuse in an OFDMA network. In this framework, both the net- work manager and mobile users learn to reach an ...
13
A Survey of Self-Organizing Networks (SON)
... of learning and emergent intelligences exhibited by natural SO systems this intelligence may arise by following simple optimal rules at local entity levels in the system rather than a complex learning ...
8
Discovering genome expression patterns with self organizing neural networks
... a learning process or to continue a previously interrupted one, permits the implementation of incremental clustering ...supervised learning modes (Fritzke, 1994), (Papadimitriou et ...of learning ...
14
Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm
... Neural Networks are arithmetic algorithms which are able to learn complicated mappings between input and output according to supervised training or they can classify input data in an unsupervised ...these ...
8
Self-organizing Business Networks, SOA and Software Maintenance
... Network self-organization involves a continuous interplay among three sets of factors: network resources, constraining and focusing ...organizational learning. Learning is the key of the process ...
5
Usage of self-organizing neural networks in evaluation of consumer behaviour
... Při použití Kohonenovy mapy můžeme najít také několik nevýhod: obecně horší výsledky algoritmů učení bez učitele oproti algoritmům učení s uči- telem, nemožnost změřit „výkon“ mapy, nutnost ručně kontrolovat správnost ...
8
DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network
... neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the Man and ...
12
A Computerized Neural Network System to Filter Unwanted Messages from OSN User Walls
... the learning model and the elicitation procedure for generating preclassified ...the learning model is concerned, we confirm in the current paper the use of neural learning which is today recognized ...
5
New variant of the Self Organizing Map in Pulsed Neural Networks to Improve Phoneme Recognition in Continuous Speech
... In this paper, we propose a new variant SOM made of spiking neurons, with a view to emphasising the temporal aspect of the data which might serve as an input, in order to improve phoneme classification accuracy. The ...
7
Filtered Wall: An Automated System to Filter Unwanted Messages from OSN User Walls
... the learning model and the elicitation procedure for generating preclassified ...the learning model is concerned, we confirm in the current paper the use of neural learning which is today recognized ...
6
Gist+RatSLAM: An Incremental Bio-inspired Place Recognition Front-End for RatSLAM
... ing self-organizing neural network is implemented, which models the competitive behavior of the cells found in visual and perirhinal ...place learning in unknown ...for learning large scale ...
8
Mobility robustness optimization in self organizing LTE femtocell networks
... Femtocell is a promising solution for enhancing the indoor coverage and capacity in wireless networks. However, for the small size of femtocell and potentially frequent power on/off, existing handover schemes may ...
10
Dynamic Design of Cellular Wireless Networks via Self Organizing Mechanism
... In this topic we investigate if and how the small world and scale-free network concepts can be created in cellular wireless networks so that they become scalable (e.g., average number of hops between node pairs is ...
6
Self-organizin map clustering method for the analysis of e-learning activities
... Data mining has various definitions by researchers, but its meaning and goal remained the same. It is the process of analyzing data from different perspectives and summarizing it into useful information, it can also be ...
27
Employability skill and framework for TVET employment in Nigeria
... (Australian Learning and Teaching Council, 2011), skills, attributes and personal qualities (Precision Consulting, 2007), Personal attributes, personal skills and TVET Knowledge (Zaharim, et al, ...
12
Modelling and Self-organizing in Mobile Wireless Sensor Networks: Application to Fire Detection
... After modelling the problem in terms of organizations and roles the objective is, now, to provide a model of the agent society in terms of social interactions and dependencies between entities involved in the solution. ...
7
427
... unsupervised learning process in SOM can be briefly described as follows (Figure ...the learning stage, the weights are updated following Kohonens learning ...
5
Organizing Self-Experiences
... In his seminal work on attachment, Bowly (1969; 1988) identified attachment behavior that engages an other in order to maintain a desired proximity. There is an innate propensity to be in contact with a specific caring ...
14
Improved Local Route Repair And Congestion Control In Self Organizing Networks
... for self organizing networks use the route until any link breakage ...these networks all nodes have random mobility behavior which leads to changes in topology and frequent breakage of ...
8
Effective Character Recognition using ANN & Convolution Techniques.
... Character recognition is performed off-line after the writing or printing has been completed, as opposed to on-line recognition where the computer recognizes the characters as they are drawn. Both hand printed and ...
5