fault dialogis of spur gear box using artificial neural network
Báo cáo vật lý: "SIMULTANEOUS SPECTROPHOTOMETRIC DETERMINATION OF Pb(II) AND Cd(II) USING ARTIFICIAL NEURAL NETWORKS" potx
... Pb(II)- PAR and Cd(II)- PAR is 518 and 409 nm, respectively Figure shows the 3D absorbance spectra of mixture of Pb(II) and Cd(II) after reaction with PAR at different concentration of Pb(II) and ... Simultaneous Spectrophotometric Determination of Pb(II) and Cd(II) Network trained with 20 epochs were suitable to be used in predicting the response of the co...
vehicle signal analysis using artificial neural networks
... accuracy for the estimating gross vehicle weight (GVW); however the accuracy decreased for individual axle weights [10] The application of artificial neural networks (ANN) to the B-WIM was attempted ... of passing vehicles, individual ANNs for 3-, 4-, and 5-axle trucks were constructed and trained using random vehicles’ data When training was completed, the validation test followed...
audio to visual speech synthesis using artificial neural networks
... acoustic speech and the appropriate visual speech movements by training an artificial neural network to associate or map fundamental acoustic properties of auditory speech to our visible speech ... auditory /visual speech, A representation of both the auditory and visual speech Some method to describe the relationship between two representations, and A technique to...
using artificial neural networks to identify image spam
... over 50% of total spam received was image spam It has since declined and now account for around 20% [13] According to the paper, Image Spam – the New Face of Email Threat, image spam forms around ... checks images to see if they contain similarities to cataloged spam images • Image property space, a technique that uses rules to extract properties of images in an emai...
ROTARY INVERTED PENDULUM AND CONTROL OF ROTARY INVERTED PENDULUM BY ARTIFICIAL NEURAL NETWORK
... MODEL FOR SYSTEM OF ROTARY INVERTED PENDULUM Figure Calculation model for system of a rotary inverted pendulum The system of a rotary inverted pendulum shown in Figure consists of a pendulum attached ... of Matlab in next sections III IDENTIFYING AND CONTROLLING ROTARY INVERTED PENDULUM SYSTEM BY ARTIFICIAL NEURAL NETWORK The artificial neural...
Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks
... involved gathering the data for use in training and testing the neural network A large training data reduces the risk of under-sampling the nonlinear function, but increases the training time ... learn the database, and to predict the properties of consolidation SELECTION OF STRAIN RATE r= V − Vmin Vmax − Vmin Data Collection Data Normalization Parametric Studies...
Báo cáo hóa học: "Fault diagnosis of Tennessee Eastman process using signal geometry matching technique" ppt
... this article as: Li and Xiao: Fault diagnosis of Tennessee Eastman process using signal geometry matching technique EURASIP Journal on Advances in Signal Processing 2011 2011:83 Submit your manuscript ... diagnosis using PC1DARMF algorithm 3.1 Introduction to Tennessee Eastman process (TEP) Tennessee Eastman process is first proposed by Downs and Vogel [12]...
a new type of structured artificial neural networks
... operations can be used to design algorithms that add or organize MMC data SCA is an example SCA does not add data but it creates new information about data and organizes it into structure As such, ... serial/parallel interface as well as a declarative/imperative interface The services near the top are sequentially linked by the scopes of the variables, but as the tree expands, many new...
Báo cáo hóa học: " Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks" ppt
... Cite this article as: Quintanilla-Domínguez et al.: Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks EURASIP Journal on Advances in Signal ... paper, partitional clustering algorithms are considered for image segmentation, because of the great similarity between segmentation and clustering, although...
Forecasting with artificial neural networks: The state of the art pot
... exists for the requirement of the sample size for a given problem The amount of data for the network training depends on the network structure, the training method, and the complexity of the particular ... particularly with small data sets In our view, the selection of the training and test sample may affect the performance of ANNs The first issue here is t...
Evolution of artificial neural network controller for a boost converter
... different artificial intelligence techniques viz., Artificial Neural Networks, Particle Swarm Optimization Algorithm and Genetic Algorithms 2.1 Artificial Neural Networks Artificial neural networks are ... compared to a conventional PI controller and the advantages explained and finally the proposed approach for the design of the architecture of the ANN is compared to...
Principles of artificial neural networks
... 6: Principles of Artificial Neural Networks (2nd Edition) by D Graupe Steven - Principles of Arti Neural. pmd 1/30/2007, 4:11 PM Advanced Series on Circuits and Systems – Vol PRINCIPLES OF ARTIFICIAL ... Introduction and Role of Artificial Neural Networks Artificial neural networks are, as their name indicates, computational networks which attempt to simul...
Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf
... http://www.intechopen.com/books/advanced -air- pollution /artificial- neural- networks- auseful -tool- in- air- pollution- and- meteorological- modelling InTech Europe University Campus STeP Ri Slavka Krautzeka 83 /A 51000 Rijeka, Croatia ... Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling, Advanced Air Pollution, Dr Farhad...
a facial expression classification system integrating canny, principal component analysis and artificial neural network
... (Canny_PCA_ANN) improved the Classification Accuracy than Rapid Facial Expression Classification Using Artificial Neural Networks [10] and Facial Expression Classification Using Multi Artificial ... Expression Classification Using Multi Artificial Neural Network [11] in the same JAFFE database In this paper, we suggest a new method using Canny, Principal...
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