[PDF] Top 20 Bitcoin Cost Prediction using Deep Neural Network Technique
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Bitcoin Cost Prediction using Deep Neural Network Technique
... Artificial Neural Network models are there for our Classification ...their prediction accuracy. The price prediction helps more number of users who are using cryptocurrencies for ... See full document
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Application of Deep Neural Network for Diabetes Classification and Prediction
... a Deep Neural Network framework diabetes data classification that utilizes stacked auto ...different neural network approaches and it is identified that the model provides high level ... 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 ...maximum prediction accuracy ...Backpropagation Neural Networks (BPN) [84.2%], Radial ... See full document
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Material Cost Prediction for Jewelry Production Using Deep Learning Technique
... a deep learning model for predicted gold and silver price is ...The deep learning model used here is based on the nonlinear autoregressive (NAR) model ...This neural network time series tool ... See full document
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Automated Feature Selection and Churn Prediction using Deep Learning Models
... regularization technique, which aims to reduce the complexity of the model with the goal to prevent ...over-fitting. Using “dropout", you randomly deactivate certain units (neurons) in a layer with a ... See full document
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Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs
... predictions using wind data from the GDAS, Ocean weather and Gulf of Mexico ...as neural networks and regression-based techniques have also made great progresses ...wave prediction can take advantage ... See full document
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Deep neural network method for the prediction of xylitol production
... experiment, deep neural network has been used. Deep neural network is one of the methods from deep ...reason deep learning is used in this experiment is because ... See full document
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Online News Popularity Prediction using Deep Neural Network with Reduced Features
... 84% using regression and classification techniques, by considering following attributes—the source which posted the article, category of the news, use of appropriate language and names of people mentioned in the ... See full document
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Early Brain Tumour Prediction using an Enhancement Feature Extraction Technique and Deep Neural Networks
... latest technique which normally used for assessment of the brain tumor in Hospitals or scan ...extraction technique and deep neural network are ...extracted using image ... See full document
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Predicting Bitcoin Prices using Convolutional Neural Network Algorithm
... The unnormalized bases are kept in order to get the original values back for the testing data. This is necessary to compare the model's predictions of prices with the true prices. After normalization, the first 90% of ... See full document
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Prediction of bioprocess production using deep neural network method
... The development of bioprocess in the production of xylitol gives a huge contributions towards the industry. Xylitol is a sugar alcohol compound of great commercial interest with a number of applications. It has been ... See full document
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Research on Investment Forecast of Substation Project Based on Neural Network Model
... intelligent cost forecasting model of transmission and transformation projects mainly combines data mining techniques and methods to expand and extend the traditional methods, deepening the depth and breadth of ... See full document
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Human corneal state prediction from topographical maps using a deep neural network and a support vector machine
... by using deep learning techniques, with an analytical view of the extracted ...convolutional neural network (CNN) was trained using the ... See full document
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Artificial Neural Network Approach for Load Forecasting in Demand Side Management
... also cost of operation ...lesser cost and better peak-to-average ratio ...predicted using artificial neural network (ANN) prediction technique ...with cost function ... See full document
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Evaluating Deep Learning Paradigms With TensorFlow And Keras For Software Effort Estimation
... and Deep Learning form the crux of AI. Deep Learning is a group of algorithms that uses complex layers of neural networks that can manage very complex functions with data of any ...vision. ... See full document
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Construction Cost Overturn Prediction Using Artificial Neural Network on Text and Numerical Data
... researchedanaccurate prediction of cost performance of commercial buildingsusing pre-project planning stage that is to develop various techniques in which one can address the risk and decide resourced to ... See full document
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Disease Detection in the Leaves of Multiple Plants
... The deep algorithms can be made useful in plant disease ...a deep learning based method for the detection of diseases effected in the leaves of ...the deep Convolutional Neural Network ... See full document
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Intrusion Detection using Artificial Neural Network and Swarm Intelligence Algorithm
... Artificial Neural Networks (ANNs) have been displayed that can bring an enormous agreement of support in medical domains of oncology, critical care, cardiovascular medicine, bioinformatics including survival study ... See full document
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Prediction of Rice Diseases Using Convolutional Neural Network (in Rstudio)
... Optimization Technique (ICACDOT), International Institute of Information Technology, Pune, ...by using Data Classification Technique,” The Eight National Conference on Computing and Information ... See full document
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Different Data Mining Approaches for Predicting Heart Disease
... “Data mining is process of extracting the useful information from huge pile of data repositories”. Data mining includes exploring, analysing and extracting data of different aspects and discovers hidden information from ... See full document
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