Back Propagation Neural Network
Intelligent Object and Pattern Recognition using Ensembles in Back Propagation Neural Network
... the Neural Network research community today. Neural networks are mostly preferred in predictive and classification problems because they are unstable classifier that is little change in input causes ...
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Back Propagation Neural Network based Emotion Recognition System
... classifier. Back propagation neural network (BPNN) is the for the most accepted and commonly used neural network [2-7] ....Usually back-propagation neural ...
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Pattern Recognition in Digital Images using Multiclass SVM and Back Propagation Neural Network
... performed to remove any noise in the image. The Characters found in the image are made clear through proper localization with the help of novel Morphology based Compound operations. The compound operation involves ...
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Brain Tumour Segmentation Based on SFCM using Back Propagation Neural Network
... Abstract: Automatic defects detection in MR images is very important in many diagnostic and therapeutic applications. Because of high quantity data in MR images and blurred boundaries, tumour segmentation and ...
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Face Detection and Recognition using Back Propagation Neural Network (BPNN)
... and fastest growing biometric areas during the last several years and become the most successful application in image processing and broadly used in security systems. A real-time system for recognizing faces using mobile ...
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Medical Image Security Using Watermarking In Back Propagation Neural Network
... a back propagation neural network where the secret image is embedded along with different noise ...existing neural network algorithms back propagation algorithm ...
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An Improved Back Propagation Neural Network Model and Its Application
... Abstrac—t-Stroke is one of the most serious disease, and the incidence rate of stroke is confirmed to be related to environmental factors including temperature, pressure and humidity .In order to obtain the relationship ...
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MATLAB Based Back-Propagation Neural Network for Automatic Speech Recognition
... using back- propagation neural network for ...how neural networks can be employed to recognize isolated-word speech as an alternative to the traditional ...signals. ...
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Moisture Prediction in Maize Using Three Term Back Propagation Neural Network
... Backpropagation network is proposed as a prediction tool for moisture content on ...Term Back propagation by the addition of an extra parameter, the proportional factor, which increases the ...
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Implementation of Back Propagation Neural Network with PCA for Face Recognition
... person’s network i.e. network gives 1 as output, and negative examples for the others network ...i.e. Network gives 0 as output which the target value ...the network is the back ...
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Micro calcification Detection in Digital Mammograms Using Back propagation Neural Network
... Abstract: The most common and first method used to detect breast lesions is mammography. Due to less visibility, poor contrast and noisy nature of mammogram it is necessary to detect the small and non-noticeable cancers ...
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License Plate Recognition System using Back Propagation Neural Network
... So, neural networks are used for ...and back propagation neural network are used for license plate detection and feature extraction of license plate ...
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Palmprint Biometrics using Feed Forward Back Propagation Neural Network
... Neural network is used as classifier for the recognition purpose. Here BP neural network is ...BP network is the ability of very strong non-linear mapping and the flexible ...
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Detection of architectural distortion using multilayer back propagation neural network
... It is hypothesized that screening mammograms obtained prior to the detection of breast cancer could contain subtle signs of early stages of breast cancer such as architectural distortion in specific. The methods are ...
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Classifying 3D objects in LiDAR point clouds with a back-propagation neural network
... In object recognition domain, machine learning algorithms are widely used in sensor- based object classifying and recognizing to increase the accuracy rate [12]. Thus, this paper proposes an urban object feature ...
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Intrusion Detection Using Back Propagation Neural Network and Quick Reduct Algorithms
... Ajay Shiv Sharma et al [17] proposed a techniques for Gene selection for tumour classification using resilient back propagation Neural Network. Classification of tumour into its subtypes is a ...
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A new back propagation neural network optimized with cuckoo search algorithm
... Abstract. Back-propagation Neural Network (BPNN) algorithm is one of the most widely used and a popular technique to optimize the feed forward neural network ...Search ...
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An Approach to Handwriting Recognition using Back Propagation Neural Network
... of Back- Propagation Neural ...The neural network is trained by supervised learning which includes error calculation using back- propagation ...the network is ready ...
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A Study On Short Term Load Forecasting Using Back Propagation Neural Network
... LIST OF FIGURES FIGURE TITLE PAGE Black box device 5 Simple summation fimction to determine the output 7 Summation functions to the threshold to determine output 8 The types of transfer [r] ...
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Designing and optimizing a back propagation neural network to model a thin-layer drying process
... Khazaee, 2003; Farkas et al., 2000a, 2000b; Sablani and Rahman, 2003; Satish and Pedy Setty, 2005), food temperature prediction during solar drying (Tripathy and Kumar, 2009), predicting moisture content of agricul- ...
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