[PDF] Top 20 Nodules Segmentation in Breast Ultrasound using the Artificial Neural Network Self-Organizing Map
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Nodules Segmentation in Breast Ultrasound using the Artificial Neural Network Self-Organizing Map
... masses in breast ultrasound images by selecting regions of ...interest. The presence of speckle noise, which is a characteristic type of ultrasound images, becomes a difficult task to ... See full document
4
Invertebrate diversity classification using self-organizing map neural network: with some special topological functions
... diversity in the farmland is always a research focus for its important role in maintaining natural equilibrium (Brown, 1991; Kremen et ...2003). Artificial intelligence is usually used to ... See full document
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Application of neural network in market segmentation: A review on recent trends
... Starting in the early 1990s, ANNs have been developed to address host of analytical ...problems. In general, ANNs are given a set of input variables and a set of known outcomes, and the ... See full document
14
Color Image Segmentation using Kohonen Self-Organizing Map (SOM)
... on artificial neural network which is the most commonly used is Self- Organizing Map ...classifies the input into the corresponding class. SOM has been ... See full document
7
AN ANN APPROACH FOR NETWORK INTRUSION DETECTION USING ENTROPY BASED FEATURE SELECTION
... data in order to build an efficient intrusion detection system which can exhibit low false alarm rate and high detection ...rate. The model consists of two major layers as depicted in ... See full document
15
Hepatitis B Diagnosis Using Logical Inference and Self-Organizing Map
... all the standardization efforts made, medical diagnosis is still regarded as an art owing to the fact that that medical diagnosis requires an expertise in handling the uncertainty which is ... See full document
9
APPLICATION OF ARTIFICIAL NEURAL NETWORKS AS AN ALTERNATIVE TO VOLUMETRIC WATER BALANCE IN DRIP IRRIGATION MANAGEMENT IN WATERMELON CROP
... between the volume of water used (reduction in input) and the productivity obtained (increase in ...studies in the literature on strategies for achieving this efficiency, such as ... See full document
14
EUROPEAN UNION’S HISTORY, CULTURE AND CITIZENSHIP
... used in both hidden and output layer’s nodes. The fast Resilient Backpropagation algorithm 1 is employed in training ...process. The ANN is randomly initialised with weights and bias values. ... See full document
10
ELECTROFACIES CHARACTERIZATION USING SELF-ORGANIZING MAPS
... on the estimates of reservoir properties, such as: lithology, porosity, permeability and fluid type ...2004). The use of robust mathematical methods aims at reducing uncer- tainties when generating such ... See full document
13
HYBRIDIZATION OF ARTIFICIAL NEURAL NETWORK USING DESIRABILITY FUNCTIONS FOR PROCESS OPTIMIZATION
... combine the magnitude of several characteristics to a dimensionless scale (say, ...means the optimum property level of the product or service whereas zero desirability indicates an unacceptable ... See full document
14
Visualizing the topical structure of the medical sciences: a self-organizing map approach.
... of the trained SOM, it helps to remember that the use of parallelization and supercomputing resources was necessitated by the goal of generating a fairly detailed low-dimensional model of a very ... See full document
16
Faults Classification of a Scooter Engine Platform Using Wavelet Transform and Artificial Neural Network
... interest in mechanical fault diagnosis using wavelet analysis has developed in the last few ...decades. The wavelet analysis technique has become one of the important approaches ... See full document
6
An Unsupervised Dynamic Image Segmentation using Fuzzy Hopfield Neural Network based Genetic Algorithm
... based segmentation method that can automatically segment gray-scale images. The proposed method mainly consists of spatial unsupervised gray- scale image segmentation that divides an image into ... See full document
8
Power Flow Analysis and Self-recovery of Electrical Energy Distribution Network Using Artificial Neural Networks
... for self-recovery of electricity distribution network was developed to simulate it, emulated by the IEEE 123 node ...model. The electrical system considered has automatic switches capable of ... See full document
10
Artificial Neural Network : A Brief Overview
... science. In order to solve a given problem of supervised learning various steps has to be ...considered. In the first step we have to determine the type of training ...examples[6][14]. ... See full document
6
3D Convolutional Neural Network for Liver Tumor Segmentation
... by. In 2009, ImageNet [8] was presented as a solution to this ...help the scientific community have a centralized dataset which could be a benchmark for new Computer Vision ...subdivided in multiple ... See full document
37
Egg Hatchability Prediction by Multiple Linear Regression and Artificial Neural Networks
... of the Gallus gallus species were distributed in eight incubators (CASP/ Mg 124) with a capacity of ...from the same 39-week-old Cobb 500 broiler breeder ...above the eggs. The other ... See full document
6
Modeling and simulation of Polymer Composite laminate bolted Joint
... used in various structural applications (Irawan et ...satisfy the engineering requirement the reason behind this failure is due to their poor moisture absorption tendency and reduced mechanical ... See full document
7
Forecasting Inflation under Globalization with Artificial Neural Network-Based Thin and Thick Models
... However, the acceleration in the pace of international trade in good, service and fi- nancial assets relative to the growth rate of the domestic trade, broadly defined as ... See full document
6
REPOSITORIO INSTITUCIONAL DA UFOP: A hierarchical self-organizing map model in short-termload forecasting.
... and the increase in their complexity, many factors have become in- fluential to the electric power generation and consumption ...Therefore, the forecasting process has be- come even ... See full document
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