Artificial Neural Network
Artificial Neural Network
... The long course of evolution has given the human brain many desirable characteristics not present in Von Neumann or modern parallel computers. These include massive parallelism, distributed representation and ...
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Artificial Neural Network
... fault. Neural networks and conventional algorithmic computers are not in competition but complement each ...the neural network) in order to perform at maximum ...is Artificial Neural ...
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Artificial intelligence. Creation of an artificial neural network
... Future floated railway that is something special that will be created. We can say with confidence that railway transport is one of the most important industries, material production, due to its economic advantage, ...
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II. ARTIFICIAL NEURAL NETWORK
... II. ARTIFICIAL NEURAL NETWORK Last two decades has seen advent of Artificial Neural Network which has been successfully applied to various fields of engineering, medical ...
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Study of Artificial Neural Network
... An Artificial Neural Network (ANN) is a mathematical model that tries to simulate the structure and functionalities of biological neural ...every artificial neural network ...
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Intelligent Neural Network For Bacteria Classification: An Innovation In Artificial Neural Network
... conventional artificial neural network in object ...this neural network perform a key role by generating only one decision; whether it would predict exactly what would be the object or ...
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FPGA Implementation of Artificial Neural Network
... computing, Artificial Neural Network plays dominant role in the field of Artificial ...of Artificial Neural Network (ANN), several approaches are there and a number of ...
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Descriptive Analysis of Artificial Neural Network
... of neural networks is at least as good as classical statistical modelling, and better on most ...The neural networks build models that are more reflective of the structure of the data in significantly less ...
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An Artificial Neural Network for Wavelet Steganalysis
... steganalysis is most often performed on data that is attached to email, on websites, on flashdrives, on MP3 players, etc. The research presented in this paper is on blind steganalysis of image data using an ...
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Channel Equalization using Artificial Neural NetworkChannel Equalization Using Artificial Neural Network
... on artificial neural network has been motivated right from its inception by the recognition that the human brain computes in an entirely different way from the conventional digital ...
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Rainfall Prediction Using Artificial Neural Network
... A B S T R A C T Artificial neural network (ANN) is widely used for modelling in environmental science including climate, especially in rainfall prediction. Current knowledge has used several ...
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Design of Artificial Neural Network for Nuclear Reactor
... Abstract— Advancement of technology in field of nuclear power generation will increase the complexity and risk factors because the nuclear power generation plant and nuclear reactors uses highly explosive and radioactive ...
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Biometric Identification Using Artificial Neural Network
... Retina is a unique biometric pattern that can be used as a part of a verification system. Artificial Neural Network (ANN)s are efficient means of prediction and recognition. An ANN can be configured ...
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MPG Prediction Using Artificial Neural Network
... In this project we will train an Artificial Neural Network (ANN) to give better estimates for MPG rates all over the automobile industry. The learning method involved is feed-forward learning. Such ...
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Artificial Neural Network for Lung Cancer Detection
... the people to take the appropriate decision based on their cancer risk status. The dataset is collected from the data world website. In this paper, we proposed an Artificial Neural Network for ...
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Artificial Neural Network Based Data Mining
... content. Neural networks play a major role in developing these algorithms due to its robustness, parallelism, high affordability to the noise data and low error ...of artificial neural ...
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SIMULATIONS OF ARTIFICIAL NEURAL NETWORK WITH MEMRISTIVE DEVICES
... Artificial neural networks (ANNs) themselves are nothing new; they are widely used in pattern recognition, but they are also mostly implemented in ...of artificial neural network have ...
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Building and Improving Artificial Neural Network Classifier
... advanced neural networks to solve the various machine learning ...implement neural networks, like Tensorflow, Theano, PyTorch, Keras ...model: Artificial Neural Network ...
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Artificial neural network for modelling rainfall-runoff
... an artificial neural network (ANN) is becoming common due to its ability to analyse complex nonlinear ...the artificial neural network is a powerful tool in modelling rainfall- ...
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Iris Recognition Using Artificial Neural Network
... The feature vector is then are classify using Artificial Neural Network (ANN) after that the performance will be analyse and perform the automatic iris recognition.[r] ...
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