multiple neural network approach
Insights on Security Improvements and Implications of Artificial Intelligence in MANET
... Neural network is another frequently used approach of Artificial intelligence reported towards securing the MANET ...from multiple beneficial feature of neural network, some of ...
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Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach
... a neural network (NN) approach and a multiple regression modeling approach to model and predict the software development effort based on an available real life dataset which is prepared ...
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A Three-Step Neural Network Artificial Intelligence Modeling Approach for Time, Productivity and Costs Prediction: A Case Study in Italian Forestry
... A multiple linear regression model (MLR) and artificial neural network (ANN) have been carried out to predict gross time, productivity and costs estimation in a series of qualitative and quantitative ...
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Literature Review on Multiple Watermarking for Images using Optimization Techniques
... on neural networks in the wavelet domain is presented in ...propagation neural network for colour ...BPN neural network is proposed in [49]. The neural network processing ...
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Prediction of microbial communities for urban metagenomics using neural network approach
... a neural network based approach to infer microbial communities of unsampled locations given the information from multiple data sources in the urban environment, including subway line informa- ...
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Price Optimization in Ecommerce using ANN
... proposed approach described here considered multiple purchase attributes to determine product price dynamically by using back propagation neural ...
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Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... prediction approach based on support vector machines [4] for developing weather based prediction models of plant diseases is proposed by Rakesh & ...conventional multiple regression, artificial ...
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Synchronized control with neuro agents for leader follower based multiple robotic manipulators
... new neural network enhanced synchronized control approach is proposed for multiple robotic manipulators systems (MRMS) based on leader-follower network communication ...Function ...
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Dynamic Pricing in Ecommerce using Neural Network approach
... Predicting the optimal price of the product is difficult task in market because price keeps on fluctuating. So every seller wants to set the selling price of their product so that their revenue is increased by dynamic ...
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A Neural Network Approach for ECG Classification
... Thus, neural networks have emerged as a significant classification ...renders neural network classifiers suitable for such ...on multiple ECG ...simple neural network to classify ...
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An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space
... prediction approach in view of help vector machines [4] for creating weather based prediction models of plant diseases is proposed by Rakesh& ...ordinary multiple regression, artificial neural ...
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A Neural Network Approach to Selectional Preference Acquisition
... a neural network model that learns to discriminate between felici- tous and infelicitous arguments for a par- ticular ...two neural network architectures: one that han- dles standard two-way ...
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Neural Network Toolbox for MATLAB - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... Perceptron networks have several limitations. First, the output values of a perceptron can take on only one of two values (0 or 1) due to the hard-limit transfer function. Second, perceptrons can only classify linearly ...
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Radio location of partial discharge sources : a support vector regression approach
... combination of RSS measurement. In this study, signal strength ratio is used as location fingerprints rather than absolute RSS. The performance of the proposed methods have been evaluated and compared with ANN in terms ...
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A New Method for Intrusion Detection Using Genetic Algorithm and Neural network
... the network intrusion detection system in ...of network attacks is usually based on information or data from distributed sensors in the intrusion detection system, which during this The attack is ...
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Project Selection: Artificial Neural Network Approach
... artificial neural network, it has shown from the validation analysis with the use of regression model that artificial neural network is a ‘dynamic’ modeling technique to support decision ...
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MindLab Neural Network Approach at BioASQ 6B
... Convolutional neural networks (CNN) are a popu- lar method for image analysis thanks to their abil- ity to capture spatial invariant patterns. In the pro- posed method, they play a similar role, but in- stead of ...
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The Task Scheduling Problem: A NeuroGenetic Approach
... AugNN approach with the GA approach is not straightforward because in the AugNN approach, a set of weights of processing elements, in conjunction with a heuristic, determines a ...AugNN ...
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A Survey of Image Segmentation Methods using Conventional and Soft Computing Techniques for Color Images
... Neural network based segmentation is totally different from conventional segmentation algorithms, A image is firstly mapped into a neural network where every neuron stands for a ...by ...
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Short Term Load Forecasting Using a Neural Network Based Time Series Approach
... During the last few decades, various methods for STLF have been proposed and imple- mented. These methods can be classified into two main types; traditional or conventional and computational intelligence approaches. Time ...
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