[PDF] Top 20 The use of artificial neural networks in electrostatic force microscopy
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The use of artificial neural networks in electrostatic force microscopy
... constant from vertical force curves. First, we compare standard minimization and ANN techniques, demonstrat- ing that ANN techniques provide a better control of the final result of the simulation. The improved ... See full document
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The use of artificial neural networks for identifying sustainable biodiesel feedstocks
... hand, artificial neural network (ANN) modeling has been successfully used in recent years to gain new knowledge in various ...the use of ANN as a modeling tool for future generation biodiesel ... See full document
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Use of artificial neural networks in biosensor signal classification
... This algorithm was successfully applied for signal classifi cation obtained from immobilized acetyl- cholinesterase (AChE) biosensor measurement of organophosphate and carbamate pesticides (Afalon, Methanion, Dithane), ... See full document
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The use of artificial neural networks in classifying lung scintigrams
... Table of Contents Appendix 1 Source Code of Image Processing System Appendix 2 Source Code of MA TI..AB Functions Created for Study Appendix 3 Source Code of C Programs Created for Unix [r] ... See full document
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Model development of the external friction of granular vegetable materials on the basis of artificial neural networks
... friction force of granular vegetable ...tion force of vegetable materials, these methods which allow the interpretation of the results obtained and the formulation of explanatory hypotheses are thus ... See full document
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Application of Artificial Neural Networks in the Prediction of Critical Buckling Loads of Helical Compression Springs
... To determine the buckled deformations, Yıldırım [10] derived analytical expressions for the vertical tip deflection of helical springs with large pitch angles and an arbitrary shape by taking into account for the whole ... See full document
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Combat aircraft effectiveness prediction by artificial neural networks
... aircraft is defined as “ a stealth aircraft (orplatform) has a low Radar Cross Section (RCS), a low Infra Red (IR) signature and an avionics fit that reduce the probability of another aircraft detecting emissionf’^^. ... See full document
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Direct measurement of electrostatic fields using single Teflon nanoparticle attached to AFM tip
... probe microscopy (SPM) [5] have become an essential tool in characterizing the electrical properties at the surface of samples, providing spatial resolution and sensitivity at the ...as electrostatic ... See full document
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Overview of the Artificial Neural Networks and Fuzzy Logic Applications in Operational Hydrological Forecasting Systems
... Artificial neural networks are widely used as an effective approach for handling non-linear and noisy data, especially in situations where the physical processes relationships are not fully ... See full document
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A. Artificial Neural Networks
... a neural network model for predictions of stocks closing prices future behaviour negotiated in BM&FBOVESPA in the short term, using the economic and financial theory, combining technical analysis, fundamental ... See full document
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Modeling the Drilling Process of Aluminum Composites Using Multiple Regression Analysis and Artificial Neural Networks
... The use of regression analysis (RA) and artificial neu- ral networks (ANNs) represents a new methodology in many different applications of composite materials in- cluding prediction of mechanical ... See full document
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... the neural network refers to a network of biological neurons. Artificial neural network (ANN) is the mimicking of the human neuron on a ...neurons.[1][2]. Artificial neural ... See full document
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A Review Of Machine Learning Techniques And Statistical Models In Anaemia
... the artificial neural networks (ANN) and support vector machines ...of neural networks are built, cross validated and trained using the Excel ...the artificial neural ... See full document
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Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks
... Artificial neural networks have achieved the state-of-the-art performance on several pattern recognition ...the use of a strategy called end-toend ...Instead, networks are trained to ... See full document
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Prediction of Compressive Strength of Concrete using Artificial Neural Network
... any. Artificial Neural Network (ANN) is used to predict the compressive strength of ...the networks. Networks are trained and tested at various learning rate and momentum factor and after many ... See full document
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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 ... See full document
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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
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A comparative study of effort estimation techniques using back propagation algorithm
... The use case point (UCP) and function point model has been widely used to estimate software size and ...the use case diagram is ...on artificial neural networks. The neural ... See full document
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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] ... See full document
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... Abstract— Artificial neural networks have been in the position of producing complex dynamics in control applications over the last decade, especially when they are linked to ...the neural ... See full document
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