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self-organization neural network

Self organization of Polynomial Regression Models in Neural Structures of Geometric Transformations

Self organization of Polynomial Regression Models in Neural Structures of Geometric Transformations

... The total data sample includes 31 vectors containing 3 inputs and 1 output. Each input vector corresponds to one experiment with different characteristics of the dielectric layer. Provided the right complex is used, the ...

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Role of soft computing as a tool in data mining

Role of soft computing as a tool in data mining

... (3) Self-organization networks: it regards adaptive resonance theory (ART) model and Kohonen model as representatives, and mainly used for cluster ...the neural network most commonly used in ...

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Developing A Fault Diagnosis Approach Based On Artificial Neural Network And Self Organization Map For Occurred ADSL Faults

Developing A Fault Diagnosis Approach Based On Artificial Neural Network And Self Organization Map For Occurred ADSL Faults

... b) Users that quality of services is important for them: Based on the information from U-matrix, Clusters 3 has the lowest number of defaults. It has 202 (202/2129=9.48%) defaults, while the highest monetary rating, ...

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Clustering Algorithm of Quantum Self Organization Network

Clustering Algorithm of Quantum Self Organization Network

... inspired neural computation in 1995; quantum neural network (QNN) has attracted great attention by the international scholars during the past decade, and a large number of novel techniques have been ...

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The Application of BP Neural Network in Leukocyte Classification Recognition

The Application of BP Neural Network in Leukocyte Classification Recognition

... Artificial Neural Networks (ANNs) also known as Neural Network (NNs), which is based on the physiological research results of the brain, is a mathematical model of a simulation of biological ...

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Comparative Study between Intelligent Algorithms for Active Force Control of Side Car Mirror Vibration

Comparative Study between Intelligent Algorithms for Active Force Control of Side Car Mirror Vibration

... use the passive suspension to isolate mirror from car body vibrations. Next, the primary work suggested to use active mirror vibration control were presented [4]. The studies declare that human perception was the mainly ...

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Predicting phishing websites based on self-structuring neural network

Predicting phishing websites based on self-structuring neural network

... of neural network architecture is the recurrent neural network, which contains feedback connections from units in the subsequent layers to units in the preceding ...type ...

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A Dynamic Neural Network Architecture with immunology Inspired Optimization for Weather Data Forecasting

A Dynamic Neural Network Architecture with immunology Inspired Optimization for Weather Data Forecasting

... feedback network connections to store representations of new input events in the form of activations as in the Long Short-Term Memory neural network (LSTM) ...recurrent neural networks, which ...

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A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data

A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data

... as self-improving CNN (SICNN), which is based on con- sidering FODPSO as feature selection, and the classification accuracy of CNN on validation samples as fitness ...

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Gist+RatSLAM: An Incremental Bio-inspired Place Recognition Front-End for RatSLAM

Gist+RatSLAM: An Incremental Bio-inspired Place Recognition Front-End for RatSLAM

... In this respect, Siagian and Itti developed a model to compute Gist features and saliency regions in parallel from saliency maps, which are then fed to a trained back-propagat- ion neural network and SIFT ...

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Application of Artificial Intelligence for Epilepsy Disease

Application of Artificial Intelligence for Epilepsy Disease

... recurrent Neural Network (RNN) ...belief network [11] and restricted Boltzmann machine [10], in short it is written DBN and ...two-surface neural net accompanied by one perceptible and one ...

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Image Compression using Neural Network

Image Compression using Neural Network

... information can be simply thrown away from images, video data, and audio data, and when uncompressed such data will still be of acceptable quality. Compression ratios can be an order of magnitude greater than those ...

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Iris Recognition Using Artificial Neural Network

Iris Recognition Using Artificial Neural Network

... The feature vector is then are classify using Artificial Neural Network ANN after that the performance will be analyse and perform the automatic iris recognition... 5 1.6 ORGANIZATION OF[r] ...

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Weight Optimize by Automatic Unsupervised Clustering using Computation Intelligence

Weight Optimize by Automatic Unsupervised Clustering using Computation Intelligence

... on self-organizing ...the network to response the types of input ...artificial neural network is defined by randomizing from the small values or data ...the network to figure out the ...

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An Effective Intelligent Self Construction Multilayer Perceptron Neural Network

An Effective Intelligent Self Construction Multilayer Perceptron Neural Network

... Artificial Neural Networks (ANNs) are a tool used for solving problems by emulating the connection between neurons in the nervous system of the human ...a neural network called “neurons”, and ...

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Predicting phishing websites based on self structuring neural network

Predicting phishing websites based on self structuring neural network

... Artificial Neural Network “ANN” particularly self-structuring neural ...the network structure in order to cope with these ...the network and shows high acceptance for noisy data, ...

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Cholesky ANN models for predicting multivariate realized volatility

Cholesky ANN models for predicting multivariate realized volatility

... The attention of this paper is focused on the use of neural networks in finance. ANNs have been widely applied in economics and finance, since they are capable of detecting non- linear dependencies and long-term ...

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An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space

An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space

... artificial neural network (back spread neural network, summed up regression neural network) and bolster vector machine (SVM) was ...(SOM) neural network is utilized ...

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Vol 5, No 1 (2013)

Vol 5, No 1 (2013)

... A neural network (NN), in the case of artificial neurons called artificial neural network (ANN) or simulated neural network (SNN), is an interconnected group of natural or ...

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Deep Learning Based Crime Investigation Framework

Deep Learning Based Crime Investigation Framework

... used against individuals to control the restlessness in the community or to stop a protest against the government. Similar types of crime also happen in states without this act. They may be registered under different ...

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