نتایج جستجو برای: neural network nn

تعداد نتایج: 839588  

2011
M. Taylan Daş Canan Dülger Sadettin Kapucu

This paper proposes a novel approach based on the training of the Neural Network method with Particle Swarm Optimization (PSO-NN) for identification of a hydraulic servo robot. The robot is considered to have two degrees of freedom; one is rotational and the other is translational. A feed forward NN is designed for the problem and the weights of the network are trained using Particle Swarm Opti...

2016
Tran Son Hai Nguyen Thanh Thuy

Facial Expression is a key component in evaluating a person's feelings, intentions and characteristics. Facial Expression is an important part of human-computer interaction and has the potential to play an equal important role in humancomputer interaction. The aim of this paper is bring together two areas in which are Artificial Neural Network (ANN) and KNearest Neighbor (K-NN) applying for fac...

2012
Maged MARGHANY

Abstract: The main objective of this work is to utilize automatic detection algorithm for oil spill pixels in multimode (Standard beam S2, Wide beam W1 and fine beam F1) RADARSAT-1 SAR satellite data and ENVISAT ASAR that were acquired in the Malacca Straits, and Gulf of Mexico, respectively. In doing so, neural network (NN) algorithm is implemented for oil spill detection. The results show tha...

2010
Wouter Gevaert

In this paper is presented an investigation of the speech recognition classification performance. This investigation on the speech recognition classification performance is performed using two standard neural networks structures as the classifier. The utilized standard neural network types include Feed-forward Neural Network (NN) with back propagation algorithm and a Radial Basis Functions Neur...

1996
Kazuaki Nakamura Jiang Hao Shinji Yamamoto Tetsuya Itoh

In this paper we propose the image segmentation incthod by the neural networks (NN) to extract text, continuous-tone and screened-halftone region in the document image. Each feature extractor for text, continuons-tone and screened-halftone is composed of the 3-layer NN which is upper part of 5-layer lio~irglass model NN; each hourglass model NN is trained by different learning samples which spe...

2007
T. Cui J. Zhang W. Zhao

Based on the bio-optical dataset acquired in the Bohai Sea in June, 2005, neural network (NN) model for remote sensing inversion of chlorophyll-a concentration is developed. The three-layer backpropagation NN model employs hyperbolic tangent sigmoid transfer function and 7 Neurons in hidden layer, taking seawater remote sensing reflectance of 443nm, 490nm, 555nm and 670nm as model input. Model ...

2005
Guido Herrmann Shuzhi Sam Ge Guoxiao Guo

The performance of a linear, discrete high performance track following controller in a hard disk drive is improved for its disturbance rejection by augmentation of a discrete non-linear, adaptive neural network (NN) element. The neural network element is deemed to be particularly effective for rejection of bias forces, such as friction. Theoretical and experimental results have been obtained. I...

2006
Yves Rangoni Abdel Belaïd

This paper describes a Neural Network (NN) approach for logical document structure extraction. In this NN architecture, called Transparent Neural Network (TNN), the document structure is stretched along the layers, allowing an interpretation decomposition from physical (NN input) to logical (NN output) level. The intermediate layers represent successive interpretation steps. Each neuron is appa...

2010
Roman Krakovský Igor Mokriš

The article is concerned with the problematic of Projective ART neural network (PART NN) and their use in the area of non-controlled learning for creation of cluster. The article states description of neural network PART, principle of Projective Adaptive Resonance Theory in the process of learning of neural network and describes its individual phases. In the next part the article focuses on use...

2017
Xiaodong Zhang Sujian Li Lei Sha Houfeng Wang

Answer selection plays a key role in community question answering (CQA). Previous research on answer selection usually ignores the problems of redundancy and noise prevalent in CQA. In this paper, we propose to treat different text segments differently and design a novel attentive interactive neural network (AI-NN) to focus on those text segments useful to answer selection. The representations ...

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