[PDF] Top 20 A. Artificial Neural Networks
Has 10000 "A. Artificial Neural Networks" found on our website. Below are the top 20 most common "A. Artificial Neural Networks".
A. Artificial Neural Networks
... forward neural networks for stock market prediction was proposed by Asadi ...an artificial neural network to forecasts the range of closing prices of three Brazilian power distribution ... See full document
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Experimental Investigation of Classification Algorithms for Predicting Lesion Type on Breast DCE MR Images
... as artificial neural networks, support vector machines and artificial bee colony optimization algorithm trained neural ...The neural network trained by a bee colony optimization ... See full document
8
Polar backpropagation [artificial neural networks]
... The purpose of this paper is to present a modified backpropagation architecture which can solve the polar classification problem and locate the pole a t the same [r] ... See full document
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The LRP Toolbox for Artificial Neural Networks
... The Layer-wise Relevance Propagation (LRP) algorithm explains a classifier’s prediction specific to a given data point by attributing relevance scores to important components of the input by using the topology of the ... See full document
5
Image Processing Using Artificial Networks and Neural Networks
... of artificial neural networks in digital image processing, we cannot make a panoramic citation for lifetime achievement on this ...using Artificial Neural ... See full document
8
Correlation analysis and prediction of personality traits using graphic data collections
... social networks are ...of artificial neural ...investigated, artificial neural networks are used as a ...convolutional neural network, trained on the images and results of ... See full document
7
A Comprehensive Review on McCulloch Pitts Neuron Model
... "Artificial Neural Networks: A Tutorial", Michigan State University, 1996 [13], they described the concepts of implementation of different logical gates using basic model of ANN ... See full document
7
Combined Complex-Valued Artificial Neural Network (CCVANN)
... complex-valued artificial neural networks (CVANN) whose parameters (weights, threshold values, inputs and outputs) are all complex numbers, will have applications in fields dealing with complex ... See full document
5
Predictive Analytics: A Review of Trends and Techniques
... Similarly, artificial neural networks, decision tree, support vector machines are the tools of machine learning which are widely used in many predictive analytics ... See full document
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A Study on Effective Algorithm for Medical Decision Making System
... (NDT), Artificial neural networks could be used in every situation in which exists a relationship between some variables that can be considered inputs and other variables that can be ... See full document
9
Modelling Metal cutting Parameters Using Intelligent Techniques
... the artificial neural networks with the logical interpretation of the fuzzy logic systems ...adaptive networks learning is based on a descent gradient method which was proposed in the 1970s by ... See full document
11
1. Diagnosing alzheimer’s disease and mild cognitive impairment with modalities: a survey
... are Artificial Neural Networks(ANN), Recurrent Neural Networks(RNN), Recursive feature elimination, hybrid based features, Spherical harmonics -Point distribution model(SPHARM-PDM), ... See full document
8
Sign Language Recognition using Hybrid Neural Networks
... Since, artificial neural networks are best suited for automated pattern recognition problems; they are used as a classification tool for this ...with artificial neural ...which ... See full document
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
... Artificial Neural Networks is based on human brain processing techniques and gets decision using neuron, and it is connection values to find better ... See full document
66
INTERNETWORKING INDONESIA JOURNAL
... of Artificial Intelligence (AI) is to study how to build artificial systems that perform tasks normally carried out by human ...Scheduling, Neural Networks and Robotics ... See full document
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A comparative study of effort estimation techniques using back propagation algorithm
... on artificial neural networks. The neural network that we have used to predict the software development effort is the single layer feed forward neural network with the identity function ... See full document
7
Blind Navigation System using Artificial Intelligence
... invariant artificial neural networks (SIANN), due to their shared-weight architecture and translation invariance ...convolutional neural network can achieve reasonable performance on hard ... See full document
5
THE TRANSITION FROM 4G TO 5G BY EMPLOYING FEMTO CELLS PROVEN THROUGH DATA RATE, PLR AND DELAY
... of artificial intelligence are expert systems, neural networks, fuzzy logic and genetic algorithms ...So, neural networks were used in this work which is considered the most powerful ... See full document
10
Accelerated optimizations of an electromagnetic acoustic transducer with artificial neural networks as metamodels
... the artificial neural networks as the meta- models of an omnidirectional EMAT, including the multilayer feedforward networks trained with the basic and improved back propagation algorithms and ... See full document
16
Non linear algorithm analysis of large scale traffic data for systematic pattern detection
... years, artificial neural networks have been widely used for estimating traffic parameters and it can be conclude that Artificial Neural Network (ANN) technique may be used to estimating ... See full document
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