[PDF] Top 20 Prediction of bioprocess production using deep neural network method
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Prediction of bioprocess production using deep neural network method
... of deep neural network involved the learning rate ...xylitol production wich is ...the production of ...in deep neural ...xylitol production for rpi deletion is at ... See full document
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Deep neural network method for the prediction of xylitol production
... xylitol production in ...as deep learning can be used as a tool to analyze and predict possible genes and pathway that can help ...years, deep learning has been in the spotlight due to their ... See full document
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Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method
... Saliency prediction is a widely studied computer vision task, aiming to understand and predict human visual attention on ...saliency prediction, since the transformed domain features has been verified to be ... See full document
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Title : Detecting air pollution from Ariyalur meteorological data using fuzzy controlled optimized generative deep learning neural network Author (s) : S.Sagayaraj and Dr. N. Vetrivelan
... generative deep learning neural network (FCOGDN) approach based air quality prediction ...Backpropagation Neural Networks (BPN) [0.812], Radial Basis Function Neural Networks ... See full document
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Computational Framework for Heart Disease Prediction using Deep Belief Neural Network with Fuzzy Logic
... enhanced prediction model for Heart Disease through the hybridization of genetic algorithm with Decision Tree for feature subset selection, Genetic with Naive Bayes and Genetic with classification via ...enhanced ... See full document
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Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs
... However, deep learning, which is derives from ML is able to learn high-level abstractions in data by utilizing hierarchical architectures ...the deep learning algorithms, CNN method has been ... See full document
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Protein Secondary Structure Prediction using Deep Neural Network and Particle Swarm Optimization Algorithm
... the prediction of both 3-state and 8- state protein secondary structure ...Conditional Neural Fields (CNF) and the Deep Convolutional Neural Network ...This method is said to ... See full document
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Deep Learning Based Crime Investigation Framework
... entry method, exit method, type of the house, and method of ...and prediction capabilities, we create our own defined categories, in-line with the IPC codes, to classify all the ...data. ... See full document
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Application of Deep Neural Network for Diabetes Classification and Prediction
... diabetes using a regression based data mining technique. Mode prediction is carried out via Oracle Data Miner (ODM) and the experimentation is performed through the Support Vector Machine ...This ... See full document
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Prediction of prostate cancer by deep learning with multilayer artificial neural network
... Two to five hidden layers of ANN were composed of 5 neurons for each layer, the activation function of hidden layers was the ReLu function, loss function was cross entropy error function, back propagation algorithm was ... See full document
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Automated Feature Selection and Churn Prediction using Deep Learning Models
... churn prediction model depends highly on the selection of customer attributes (feature selection) from the dataset for its model ...Since deep learning algorithms automatically comes up with good features ... See full document
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Relation prediction in knowledge graph by Multi-Label Deep Neural Network
... a method for incorporating inference rules into embedding mod- els for accurate predictions (Wang et ...a method for ranking relations between entities (Wang et ...The method uses rules to refine the ... See full document
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Prediction of prostate cancer by deep learning with multilayer artificial neural network
... of deep learn- ing using a multilayer artificial neural network was ...artificial neural network (ANN) programs; 232 patients were used as training cases of ANN programs and the ... See full document
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Garments Texture Design Class Identification Using Deep Convolutional Neural Network
... Garments Texture Design Class Identification Using Deep Convolutional Neural Network.. S.M.[r] ... See full document
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Oil Price Forecasting Based on EMD and BP AdaBoost Neural Network
... BP neural network combined with EMD method to make predic- ...BP neural network has the effects of local minimum value, slow convergence rate and poor generalization ability of the ... See full document
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Effective Prediction of Thermal Conductivity of Concrete Using Neural Network Method
... probe method, the plane heat source method, and the hot guarded plate method (Morabito 1989; Carslaw and Jaeger 1959; Nevile ...accurate prediction of the value of the TCC that can account for ... See full document
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Speech Enhancement Using Deep Neural Network
... supervised method Deep Neural Network ...supervised method enhance the speech by finding a mapping function between the noisy and clean speech signals based on deep neural ... See full document
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A computational method for protein domain prediction by using double stage neural network
... The proposed computational method is tested and compares its performance with SNN. The properties of protein sequence are detected from several measures as mention previously generate a strong signal [18] of ... See full document
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Analysis of Underwater Data using DNN
... 1) This step is basically responsible for extracting the key element which serves as the basis for analyzing the output. Here we are using the HOG i.e Histogram of Oriented Gradients for the feature extraction. ... See full document
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Intrusion Detection using Artificial Neural Network and Swarm Intelligence Algorithm
... of neural network are used to achieve a good ...by using five different types of neural network such as Feed Forward Neural Network (FFNN), Deep Neural ... See full document
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