Weight Initialization
Solving the linear interval tolerance problem for weight initialization of neural networks
... In this paper we studied an interval analysis approach for neural network weight initialization with the aim to deal with uncertainty about the initial weights. Instead of algebraically solving a linear ...
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Novel Recurrent Neural Network Weight Initialization Strategy
... Abstract— This paper proposes a weight initialization strategy for a discrete-time recurrent neural network model. It is based on analyzing the recurrent network as a nonlinear system, and choosing its ...
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A New Weight Initialization Method Using Cauchy’s Inequality Based on Sensitivity Analysis
... efficient weight initialization method is proposed using Cauchy’s inequality based on sensitivity analy- sis to improve the convergence speed in single hidden layer feedforward neural ...other weight ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... This paper develops the NN algorithm that uses CG, comprising merits of PSO and GA as weight initialization, and this algorithm is called the conjugate gradient-neural network-PSO-genetic algorithm ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... ABSTRACT This case study examines the possibility of implementing the Electronic Documentation System EDMS in Al-Balqa' Applied University as managing documents has become an important a[r] ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... Now, destination node will send a route reply message contains these encrypted identities, encrypted session key, and also time stamp, destination position, and source position... COMPAR[r] ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... The proposed method have used skin color segmentation methods as well as edge detection to detect face in color images.. In addition, a template matching process is applied based on a li[r] ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... where is the velocity vector, is a modified velocity vector and is a positioning vector of particle i at generation k. Also, is the best position found by particle i and $ is the best position found by the particle’s ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... The performance of DSR protocol under black hole attack was analyzed and a solution called Enhanced Dynamic Source Routing (EDSR) protocol to detect it was suggested by Mohanapriya and Krishnamurthi [19]. This is a new ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... As for the W4 weighting variation with 30% shape feature weighting, 50% color feature weighting and 20% texture feature weighting and a variation in the number of clusters 3 clusters, it[r] ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... complex weight, while array output beam pattern is produced by the intersection of these elements’ ...beamformer weight must be able to ensure that the intersections points are constructs the main lobe with ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... for initialization, applies three neighborhood search strategies for splitting and moving which are (move, swap and 2-opt operator), and they have been selected randomly to generate a number of neighbors as ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... This study discusses the AHP Analytic Hierarchy Process, SAW Simple Additive Weighting and TOPSIS Technique for Order Preference by Similarity to Ideal Solution in order to make the sele[r] ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... Automated rice leaf disease detection using color image analysis.. In: 3rd International Conference on Digital Image Processing.[r] ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... Business process discovery is a research field assembling techniques that allow representation of a business process, taking as input an event log where process data are stored. Several advances have been made in process ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... 2 Firstly, an edge operator is used to detect the blood vessel, which results in detection of outer and inner line of the vessels for the whole image, Iedge Figure 1... Figure 2: Sample [r] ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... Figure 6.1 depicts the strategy comparison for a regular node in terms of average utility scored when the malicious nodes employ their PBE strategy while Figure 6.2 depicts the strategy [r] ...
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Oil Price Forecasting Based on EMD and BP AdaBoost Neural Network
... network weight initialization and sample data, and improve the prediction accuracy of BP neural network and EMD method, this paper proposes a BP_AdaBoost model time-series prediction method based on EMD ...
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Concavity and Initialization for Unsupervised Dependency Parsing
... to initialization, it is compelling to consider unsupervised models with concave log-likelihood functions, which may pro- vide stable, data-supported initializers for more complex ...
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Observational Initialization of Type Supervised Taggers
... Recent work has sparked new interest in type-supervised part-of-speech tagging, a data setting in which no labeled sen- tences are available, but the set of allowed tags is known for each word type. This paper describes ...
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