self-organizing neural network approach
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 ...our approach with state-of-the-art appearance ...
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Mining Frequent Patterns using Self Organizing Map with MATLAB Neural Network Toolbox
... Jesmin Nahar et al [6] analyzed the different association rule calculations on coronary illness data anticipating sound and wiped out heart status. The three association calculations utilized were Apriori, Prescient ...
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Image Compression using Neural Network
... a neural network based technique that may be applied to image ...traditional approach to reduce the large amount of data would be to discard some data redundancy and introduce some noise after ...a ...
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Detecting Forest Damage in Cir Aerial Photographs Using a Neural Network
... integral approach that consists of utilizing good features of color infrared aerial imagery, methods of digital image analysis, artificial intelligence and vi- sual scene ...that self-organizing ...
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DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network
... robust approach using artificial 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 ...
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An Application of Partitive Clustering Algorithm for Landslide Hazard Zonation
... [9][10], self-organizing map [12] and artificial neural network models ...Artificial neural networks (ANN) have broad applicability to real-world business ...Since neural ...
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Filtered Wall: An Automated System to Filter Unwanted Messages from OSN User Walls
... with Self Organizing Neural Network ...with Self Organizing Neural Network ...our approach, we consider all values of the output neurons as a result of the ...
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Self Organized Mapping based Map Reduce technique in big data analytics: A Neural Nnetwork approach
... Networks”. Neural Networks is an amazing concept, it is totally different from other computer programs because each computer program has its own output or is unique, but in the case of Neural Network ...
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Enhanced Self Organizing Map Neural Network for DNA Sequence Classification
... A data mining approach based on SOM as clustering, feature selection and classification, is introduced. SOM is employed by redesigning its several training phases to cope with the complex nature of DNA sequences, ...
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On hybrid intelligence-based control approach with its application to flexible robot system
... fuzzy-based approach and applied to the singular perturbation method for controlling robot flexible arm ...A neural-fuzzy-based structure is proposed to control the target position of a flexible connection ...
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An Attempt to Recognize Handwritten Tamil Character Using Kohonen SOM
... -------------------------------------------------------------------------ABSTRACT ------------------------------------------------------------- This paper presents a new approach of Kohonen neural ...
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Comparative Evaluation of Self Organizing Feature Map and Back Propagation Neural Network for Multimodal Biometric Systems
... This approach is useful when image sizes are large and a reduced feature representation is required to quickly complete tasks such as image matching and ...
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Weight Optimize by Automatic Unsupervised Clustering using Computation Intelligence
... this approach calibrates input space from higher dimensional space to lower dimensional ...on self-organizing ...the network to response the types of input ...artificial neural ...
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3D head model from stereo images by a self-organizing neural network
... based approach in which only a very few point correspondences are used to calculate the location of the 3D ...A self-organizing neural network is applied to iteratively fit the general ...
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Face Recognition Using Neural Network Technique Som (Self Organizing Maps)
... Template Approach, face acts as a template and local features based on eye, mouth, cheeks and nose are first captured and extracted and classifier acts on their geometrical locations [8], ...
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Image Segmentation using Bi Directional Self Organize Neural Network (BDSONN)
... bi-directional self- organizing neural network (BDSONN) with Multilevel Sigmoidal (MUSIG) function as activation function approach is presented in this Report to segment image in ...
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Credit Management Based on Risk Intelligence and its Managerial Implications
... hybrid approach to use a self-organizing map (SOM), an artificial neural network, and a Cox’s proportional hazard model, a semi-non-parametric technique for a survival ...
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Efficient Method for Intrusion Detection in Multitenant Data Center
... computer network the security of the computer system has become very ...the network boundaries between each tenant in the ...use Self Organizing Map algorithm which learn to characterize ...
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Supervised Self-Organizing Classification of Superresolution ISAR Images: An Anechoic Chamber Experiment
... new self-organizing neural network called SART (supervised ART), which is compared to two standard classifiers, MLP (multilayer perceptron) and fuzzy KNN (K nearest ...
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International Journal of Emerging Technology and Advanced Engineering
... Artificial neural network used for solving the real world ...optimal Neural Network is found for prediction of Rainfall time series ...Perceptron Neural Network is found as an ...
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