and artificial neural networks.
Heritability profiles defined by hierarchal models and artificial neural networks for dual-purpose wheat attributes
... (2013), neural networks may draw the most complex features of existing data sets, therefore, are successfully used in a multitude of studies as Oliveira et ...of artificial neural ...
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A. Artificial Neural Networks
... enhance artificial neural networks methods to support the prediction in stock market ...a neural network model for technical analysis of stock market, and its application to a buying and ...
7
The Influence of Composite Laminate Stacking Sequence on Failure Load of Bonding Joints Using Experimental and Artificial Neural Networks Methods
... Failure load prediction of single lap adhesive joints using artificial neural networks. Aydın, An artificial neural network model for predicting compression strength of heat [r] ...
10
INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS
... Artificial neural networks have emerged from the studies of how brain performs. The human brain consists of many millions of individual processing elements, called neurons that are highly ...
9
On the application and design of artificial neural networks for motor fault detection. II.
... P of the use of artificial neural networks in motor fault detection applications. In Part I1 of this paper, we will discuss how to design an artificial neural network for[r] ...
8
Cotton genotypes selection through artificial neural networks.
... The artificial neural networks presented a high capacity of correct classification of the 20 selected genotypes based on the fiber quality index, so that when using fiber length associated with the ...
9
Eigen Artificial Neural Networks
... an artificial neural network and propose a new point of view of this ...optimize artificial neural networks by applying the formalism to some datasets available in ...Hopfield ...
48
Combat aircraft effectiveness prediction by artificial neural networks
... study. Artificial Neural Networks (ANN) is originated by observing the subject entity as a neural net and process the information of multiple dimensions by an input-output relationships, ...
330
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 ...
7
A Comprehensive Review on McCulloch Pitts Neuron Model
... Abstract: This Paper presents the concepts of basic models of Biological Neuron and the Artificial Neurons. The main aim of writing this paper is to provide the concepts of basic model of Artificial ...
7
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 ...
7
Experimental Investigation of Classification Algorithms for Predicting Lesion Type on Breast DCE MR Images
... The artificial neural networks (ANN) have been one of the most common approaches for researching the classification of malignant and benign breast MR lesions [1, 3-9, 20-22, 24- ...based ...
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 ...
7
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), ...
8
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 ...
8
Combined Complex-Valued Artificial Neural Network (CCVANN)
... single, neural network ...for neural network models (SNN) that consist of a combination of the candidate neural ...of artificial neural ...combining neural network models in ...
5
Building lighting energy consumption modelling with hybrid neural-statistic approaches
... In this scenario, at present there are three different approaches [4] for modelling energy consumption in buildings : Statistic Modelling (SM), Simulation Programs (SP) and Intelligent Computer Systems (ICS). The first ...
8
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 ...
9
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 ...
66
Prediction of Stock Prices Using Artificial N...
... addition, artificial neural networks are often able to detect subtle patterns and trends that may be too intricate for humans to ...Further, artificial neural networks can ...
6