artificial neural network technique
Investigating and Prioritizing Factors Affecting Health Literacy in University Students of Yazd Using Artificial Neural Network Technique
... an artificial neural network using SPSS ...An artificial neural network is a data processing system that processes data through various processors that behave in an ...
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Analysis of Turning Process By Using Artificial Neural Network Technique
... ANN network shows the SPO2 has great impact on the workers pulse rate.From network diagram of SPO2 value the column no.1,2 & 3 has more avg.value of input layer output than experiment no.3,4 & ...
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A Review on Protection Techniques used in HVDC Transmission Line Shweta Mahajan , Prof. S. U. Kulkarni
... with network configuration. Due to this reason, Artificial Neural Network technique is considered for high speed dynamically system operating ...The Artificial Neural ...
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EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING
... captioned technique is extended to the calibration of multi-sensor hot-wire ...the neural systems and refurbished the ...fantastic technique for Flush Air Data Sensing for Soaring- Capable UAVs by ...
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Artificial Neural Network Based Load Shedding Technique for Industrial System
... an Artificial Neural Network (ANN) based adaptive and optimum load shedding scheme is designed for industrial system with in-plant ...shedding technique is designed based on transient ...
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Image Compression Using a New Technique by Artificial Neural Network
... large network, considered by the ...of neural networks is the high speed processing that is provided through massively parallel VLSI ...a neural network in digital hardware comes from several ...
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... It is the objective of this paper to develop a system or simulated environment for early prediction or diagnosis of Heart disease, for example-Cardiovascular Disease (CVD) and Coronary Heart Disease (CHD) using ANN ...
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An In-depth Study of Typical Machine Learning Methods via Computational Techniques
... The artificial neural network (ANN) has being able to overcome all the challenges present for Box- Jenkins technique and regression ...ANN technique is more reliable for predicting data ...
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An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space
... Stereomicroscopic technique and Image examination strategy is analyzed for convenience of image investigation as a proficient and precise technique to quantify organic product attributes like size, shape ...
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Influence over the Dimensionality Reduction and Clustering for Air Quality Measurements using PCA and SOM
... and artificial neural networks techniques for data ...multivariate technique and Self Organising Map a neural network technique is presented in this ...
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Vol 7, No 9 (2017)
... used technique in cloud computing, that is used for implementing these three services along with VM migration techniques that is used for the maintenance of virtualized cloud computing data centers ...using ...
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Performance Enhancement of RSA Algorithm Using Artificial Neural Networks
... a technique to encrypt simple message into cipher text for secure transmission over any channel , An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by ...
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Design Of Inverters With Harmonics Reduction Technique Using Artificial Neural Network
... bridge which controls how long the bus voltage is allowed through to the load. The other half of the H- bridge controls the polarity of the voltage across the load, and is controlled by a simple square wave of the same ...
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An Enhanced Technique for Lymphoblastic Cancer Detection Using Artificial Neural Network
... equalization technique, segmentation technique, classifiers ...(Neural Network (NNET), Support Vector Machine (SVM), and k-Nearest Neighbor( KNN) ...erosion technique is utilised in [3] ...
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Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... regression, artificial neural network (back propagation neural network, generalized regression neural network) and support vector machine (SVM) was ...processing ...
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A REVIEW PAPER ON PREDICTION OF OSTEOPOROSIS
... Osteoporosis not only depends on bone mineral density (BMD) but also on strength and characteristics of trabecular network. The formation of bone and characteristics of trabeculae depends on many factors that ...
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A Comparative Experimental Study on Fault Diagnosis of Rolling Element Bearing Using Acoustic Emission and Soft Computing Techniques
... (IBC) technique – they provide high robustness to different noise-to-signal ...emerging technique for condition monitoring of rolling element bearings as well as potentially offers advantages for detection ...
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Artificial Neural Network
... Artificial neural networks (ANNs) are computational models inspired by an animal's central nervous system (in particular the brain) which is capable of machine learning as well as pattern ...recognition. ...
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... correct network conduct are provided for the learning rule. The network input is xn in this case and dn is the required destination ...make network outputs more exact, the Study rule is employed to ...
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Osmotic Drying Rate Estimation for Dehydration of Beetroot Slices using Artificial Neural Network
... develop Artificial Neural Network model that will correlate the dependent parameters, the weight loss and drying rate, with temperature, concentration of salt solution and time for osmotic ...
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