[PDF] Top 20 A HYBRID NEURAL-NETWORK FOR IMAGE CLASSIFICATION
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A HYBRID NEURAL-NETWORK FOR IMAGE CLASSIFICATION
... C10 In these systems, the learning behavior of the neural network is simulated by updating the holographic dynamic gratings stored in the photorefractive crystal, w[r] ... See full document
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A HYBRID NEURAL NETWORK MODEL FOR SOLVING OPTIMIZATION PROBLEMS
... Since Hopfield and Tank [SI constructed an energy function to represent the Traveling Salesman Problem (TSP) so that it could be iteratively solved on their neural ne[r] ... See full document
10
Using a Full Counterpropagation Neural Network for Image Watermarking
... technique for protection and identification that allows authentic watermarks to be hidden in multimedia such as image, audio, and ...propose a novel method called Full Counter-propagation ... See full document
6
Satellite sensor image classification using cascaded architecture of neural fuzzy network
... the classification. The results show that the neural network is a feasible application to satellite sensor image clas- ...pixels, a high clas- sification accuracy is not easy to ... See full document
11
Wavelet tree classification and hybrid coding for image compression
... if a wavelet coefficient is insignificant with respect to a given threshold, then all the corresponding wavelet coefficients at the finer resolutions are likely to be insignificant with respect to the same ... See full document
5
A learnable cellular neural network structure with ratio memory for image processing
... as a Consultant to high-tech industry and research organizations and has built up strong research collaborations with high-tech ...was a Visiting Associate Professor in the Department of Electrical ... See full document
11
The Support Vector Clustering Neural Network Used For Pattern Classification
... presented a SVISV algorithm to improve the limitation in SVC; that is, when the training data become large, the solution of the Lagrange multipliers is difficult to ...within a cluster are ...develop ... See full document
5
Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From
... deep network such as CNN. In a direction oppo- site to the feature extraction or selection which is usually required for conventional machine learning models, feature enrichment aims to enrich the ... See full document
10
A Hybrid Forecasting Model for Foreign Exchange Rate Based on a Multi-neural Network
... work, a multi-neural network model consisting of three sub-networks and one master network is proposed to combine the fundamental theorem and technical analysis in TWD/USD exchange rate ... See full document
6
Support-vector-based fuzzy neural network for pattern classification
... is a prespecified constant, is the rule number at time , decides the overlap de- gree between two clusters, and the threshold determines the number of rules ...generated. For a higher value of , more ... See full document
11
Classification of multispectral images through a rough-fuzzy neural network
... Multispectral classification has been described as generat- ing better discrimination than single spectral ...either a spaceborne or an airborne platform such as the Landsat seven-band thematic mapper 共TM兲, ... See full document
10
An Artificial Neural Network for Double Exposure PIV Image Analysis
... artificial neural network for double exposure PIV image analysis ...presents a back propagation neural network for PIV image ...of image out of the ... See full document
2
Fuzzy Hopfield neural network with fixed weight for medical image segmentation
... Recently, neural network-based architectures 4 –11 have been applied for image ...proposed a two-dimensional self-organizing feature map- based approach that incorporates both local and ... See full document
8
A self-correction Hopfield neural network for computing the bit-level transform image coding
... Hopfield neural network for computing the bit-level transform image coding PO-RONG CHANG ² A Hopfield-type neural network approach is presented, which leads to an analogue ... See full document
22
A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles
... headlines for their stories to increase sales, since popular article titles and headlines can attract readers to buy ...Backpropagation Neural Networks (BPNNs) have successfully been used to develop ... See full document
10
Supervised Fuzzy ART: Training of a Neural Network for Pattern Classification via Combining Supervised and Unsupervised Learning
... According to the matching criteria, if the input vector I is mapped to different desired output from that of the hyper- rectangle containing I, a new category is created.. Initial[r] ... See full document
6
An HVS-Directed neural-network-based image resolution enhancement scheme for image resizing
... images for testing and are not included in the training data to demonstrate the generalization ability: Lena, Home, Goldhill, Lighthouse, Barbara, and ...HVS-directed image interpolation is compared with ... See full document
11
A vector neural network for emitter identification
... of a received emitter ...with a specific radar emitter, the VNN is proposed to process interval-value data in the EID ...VNN. A new vector-type backpropagation learning algorithm is derived from an ... See full document
8
Two-layer competitive based Hopfield neural network for medical image edge detection
... obtain a complete and mean- ingful description from an image by characterizing inten- sity ...require a predetermined threshold to determine whether or not a zero-crossing point is an edge ... See full document
9
Hybrid-Patent Classification Based on Patent-Network Analysis
... essential for organi- zations to maintain their competitive ...The classification of patents is a critical part of patent man- agement and industrial ...proposes a ... See full document
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