neural network algorithm
COMPREHENSIVE STUDY OF MODIFIED ARTIFICIAL NEURAL NETWORK ALGORITHM AND COMPARE EFFICIENCY AND PERFORMANCE WITH BASIC ALGORITHM OF NEURAL NETWORK IN DATA MINING
... A neural network has to be configured such that the application of a set of inputs produces (either 'direct' or via a relaxation process) the desired set of ...the neural network by feeding it ...
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Hybrid Prediction Models For Stock Market
... Artificial Neural Networks and hybrid ...artificial neural network (ANNs) suggests that ANNs can be promising alternative to the traditional linear methods like ARIMA ...Propagation neural ...
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Spam detection using hybrid of artificial neural network and genetic algorithm
... of neural network algorithm has been done to save time for parameter selection and to optimize network training in order to increase the performance of spam detection, and to evaluate the ...
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E Learning Optimization Using Supervised Artificial Neural Network
... the algorithm using 50 hidden neurons produced the result in Table ...training algorithm has only few outliers and generally of a good prediction ...the neural network estimate, gave a ...
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Dynamic Monitoring and Optimization of Fault Diagnosis of Photo Voltaic Solar Power System Using ANN and Memetic Algorithm
... intelligent algorithm is also an ...use algorithm based on distributed on-line monitoring of photo voltaic array of XBee wireless sensor network and Artifi- cial neural network ...
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Fingerprint Recognition based Comparative Review of Various Techniques
... flow network-based matching technique was introduced to obtain one-to-one correspondence of secondary ...connected neural network was trained to generate the final similarity score based on minutiae ...
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Research of adaptive control algorithm research based on rough set and implementation
... adaptive neural network algorithm has strong compatibility, some noise data, not including related function and reduce the input dimension, a fast learning process, uncertainty processing and force ...
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Research on English translation distortion detection based on image evolution
... the neural network algorithm accurately detects the English located above and constructs it into a single complete Chinese ...search algorithm of this paper, in addition to the ef- fective ...
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Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... Artificial Neural Network based on the actual annual data of the insurance premi- ums revenue between the years 1970 to ...Artificial Neural Network con- firmed to be strong and useful to ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... Artificial Neural Network (ANN) chip, which can be trained to implement certain ...of neural networks is done off-line using software tools in the computer ...The neural networks trained ...
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Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing
... Martin Randles,David Lamb and A.Taleb Bendiab[2] stated the comparison between three distributed load balancing algorithms for cloud computing environment. Motivation for this paper was emerged from the study of ...
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Design of Intrusion Detection System Based on Improved ABC elite and BP Neural Networks
... population algorithm originates from the resolution of numerical optimization problems and is a meta-heuristic target optimization ...traditional neural network training methods, researchers began to ...
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‘Neural Network’ a Supervised Machine Learning Algorithm
... learning algorithm, neural network has been widely used in various research projects to solve various critical ...of neural networks is inspired from the human ...of Neural Networks ...
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Improved spikeprop algorithm for neural network learning
... Classical neural network research became famous because of the error- backpropagation learning ...a neural network can be trained to solve a problem which is specified by a representative set ...
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Research on Classification of E-shopper Based on Neural Networks and Genetic Algorithm
... Finally, the good result is achieved by applying the new methods to a given database for customers buying computer, but there is still space for improvement. In this paper, the algorithm is verified in the only ...
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Date Fruits Classification using MLP and RBF Neural Networks
... intelligence neural networks is given in [10]. An algorithm of apples shape setting and identification of their stalk is developed in ...sorting algorithm of fruit according to shape via ...
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... training neural networks are based on local search, population methods, and others such as cooperative coevolutionary models ...(DE) algorithm was applied to design an ANN to solve a weather forecasting ...
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Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm
... GA has proven to be more efficient than other search algorithm for highly non linear and complex problems [15]. It has no requirement for the continuity in the derivative so virtually any fitness function can be ...
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FACE DETECTION WITH SKIN COLOR AND FEATURES AND RECOGNIZATION USING GENETIC ALGORITHM
... We have used a specific method for generating features vector of the whole face in an image, by first detecting face regions using the color of skin which presents a robust overlooked in different background, accessory ...
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Maintainability Prediction for Software based on Class Diagram using Back Propagation Neural Network and Coco Search Algorithm
... CSBP algorithm on this data from 28 class diagrams the Optimal weights were obtained for the metrics shown in Table1 to Predicts understandability, modifiability, the figure(3) show The results obtained from ...
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