Weight Connection Values for a 5-3-1 Neural Network
Simultaneous Evolution of Architecture and Connection Weights in Artificial Neural Network
... for neural network decoding. But sometimes, the network can be pre-structured architectures, which makes the search space is very much ...some network parameters like number of layers, the ...
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Novel Recurrent Neural Network Weight Initialization Strategy
... one-neuron network training in the 2-Pulse sample problem. In section 3 is shown that in the dynamic transition of a saddle-node bifurcation, the error decreases ...feedback weight parameter this ...
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A Study on the Application of Neural Network to the Prediction of Weight Control
... Chang 1 , Pin-Chang Chen 2 , Han-Chen Huang 3 , De-Hua Lin 4 1,2,4 Department of Information Management, Yu Da University, Taiwan, ...R.O.C. 3(Corresponding Author) Department of Leisure Management, ...
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Ultrasound estimation of fetal weight in twins by artificial neural network
... birth weight of twin A was 2390 g (160-2918 g), and of twin B 2265 g (210-2868 ...within 3 days of US examination ...fetal weight estimation 81 fetuses that were delivered within the subsequent ...
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Fusion of TanDEM-X and Cartosat-1 elevation data supported by neural network-predicted weight maps
... than initial study DEMs—meaning the more reliable DEM can be obtained by NNs. In terms of NMAD metric, the quality of ANN-based DEM fusion is significantly higher than simple averaging. 8. Conclusion This study focused ...
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Weight Median Filter Using Neural Network for Reducing Impulse Noise
... that weight median filter based on threshold decomposition removes impulsive noise with an excellent image detail-preserving capability compared to nonlinear filter and linear ...
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FACE DETECTION AND RECOGNITION USING MORPHOLOGICAL SHARED-WEIGHT NEURAL NETWORK
... The subject of face detection and recognition has recently gained a lot of attention because of its many potential applications (e.g. monitoring access to restricted areas, image and video indexing, etc.). Despite the ...
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FACE DETECTION AND RECOGNITION USING MORPHOLOGICAL SHARED-WEIGHT NEURAL NETWORK
... ABSTRACT An algorithm based on the morphological shared-weight neural network is introduced here. Being nonlinear and translation-invariant, the MSNN can be used to create better generalization ...
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Neural Pascal. A Language for Neural Network Programming. 1. Introduction
... 2. The Language Links and Ports: Our underlying concept of a neural network is that of a directed graph whose nodes may be grouped into nodes of different types. A connection between nodes is called ...
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Evaluation of Stiffened End Plate Moment Connection through Optimized Artificial Neural Network
... Before applying any load, the pretension forces are applied at the bolt end node; as presented in Figure 3. Once all bolts are pretensioned, an external load is ap- plied incrementally by considering all the ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... selection, replication; crossover; mutation and so on [4],[5]. The GA algorithm generates an initial population randomly. A new population will now develop from this initial population using three basic ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... Although data quality have been addressed in the algorithms previously mentioned, log volume was poorly considered, which is a challenging obstacle as data stores and therefore event logs tend to grow sustainably. For ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... Keywords: Gaussian Kernel, Fundus Image, Blood Vessel Detection, Optic Disc Removal, Outer Ring Removal 1. INTRODUCTION One of the popular trends for fast disease screening is through analyzing the condition of ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... [email protected], 5 [email protected] ABSTRACT In Mobile Adhoc Network (MANET), one of the precarious problems is of identifying the malicious ...overall network utility ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... 2 Ministry of Science and Technology, 00964,Baghdad, Iraq E-mail: 1 [email protected] , 2 [email protected] ABSTRACT Beamforming algorithms are a digital signal processing algorithm which combined with uniform ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... In the municipal sector the Electronic Documentation management systems (EDMS) (Erway, 2001) "Electronic Document Management System" take a case study which show the city of San Clement which seeking proposals from ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... As mentioned above, military and law- enforcement are compelling examples of settings where privacy, in addition to security, is very important. Zooming in on the military example, one can imagine a battlefield MANET ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... Step-3: In the third step, there is a conversion of input color image to a gray-scale image. Then, edge detection by using Sobel operators will be done to achieve the edges of image by an initial threshold .Since ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... There are four main contributions in this paper. First, the algorithm can be used to eliminate redundant sensors or readers without affecting network coverage, so that the mobile RFID reader a less amount of ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... Route Discovery and Route Maintenance operate on demand. Unlike other protocols, DSR needs no periodic packets of any kind at any level within a network. For example, DSR does not resort to periodic routing ...
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