[PDF] Top 20 Study on displacement prediction of landslide based on neural network
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Study on displacement prediction of landslide based on neural network
... nerve network training; Fourth step makes use of the trained neural network to predict landslide displacement, and normalizes the input ...Bazimen landslide data from January in ... See full document
8
Student’s Academic Performance Prediction Using Factor Analysis Based Neural Network
... this study, a hybrid models were proposed for Student’s Academic Performance Prediction Using Factor Analysis Based Neural Network, When we manipulate high dimensional data with ... See full document
6
Neural Network-Based Fuel Price Prediction
... is based on the crude oil prices in the international market. This study probes the revised petrol price based on the estimated GST in India for the time span of October 2, 2017 to January 31, ... See full document
6
Sugeno Type Fuzzy Inference Model for Stock Price Prediction
... [18] Study stock trend prediction system based on Artificial Neural Network ANN and fuzzy logic rules using technical indicators and Elliott’s wave theory.. In this approach the neural n[r] ... See full document
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Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... is based on the idea of optimal exploitation of ...is based on Ulph [11] through the exploration of exhaustible resources, that is, starting from the petroleum market ...traditional prediction ... See full document
6
Failure prediction of Chinese A share listed companies : comparisons using logistic regression model and neural network analysis : a thesis presented in partial fulfilment of the requirements for the degree of Master of Business Studies in Finance at Massey University, Palmerston North, New Zealand
... This study compares the relative prediction accuracy of corporate failure between two prediction methods -logistic regression model and neural network analysis- based on a sample of 3598[r] ... See full document
9
Software Defect Prediction Tool based on Neural Network
... problems, neural network learning algorithms have been successfully ...trained neural networks, called rule ...their study, using rule extraction algorithms, to translating the functions ... See full document
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Prediction of Tourist Quantity Based on RBF Neural Network
... feasibility study process, Hainan tourism scale is the scientific basis for forecasting tourism development, establishing tourism management decisions, reasonable controlling visitors scale, realizing the ... See full document
6
Freight-Forward Agreement Time series Modelling Based on Artificial Neural Network Models
... applying neural network modelling within the context of crude oil freight rate prediction for the Mediterranean line (Med-Med) using data from 1980 to 1995 and three variables: the actual rate time ... See full document
6
Prediction of Landslide Displacement using NARX Model
... to landslide disaster, it is must to predict the changes in landslide ...displacement. Landslide displacement is direct reflection of state of the ...landslide. Landslide ... See full document
6
Modeling for Prediction of Characteristic Deflection of Flexible Pavements- Comparison of Models Based on Artificial Neural Network and Multivariate Regression Analysis
... Artificial Neural Networks have the ability to relate between the input data and the corresponding output data which can be defined depending on single or multiple parameters for solving a linear or nonlinear ... See full document
6
Dynamical Process on Growing Geometrical Network Based on Modular Group
... a walker to reach a node from a starting point and this property is widely used in character- izing transport efficiency (Kozak and Balakr- ishnan, 2002, Zhang et al., 2009, 2010) It was shown that MFPT behaves ... See full document
9
Online Failure Prediction for Railway Transportation System based on Fuzzy Rules and Data Analytics
... SAFETY-CRITICAL systems, such as railway control systems, may use off-the-shelf hardware and software developed by different companies. This increases the probability of the occurrence of faults, which may be propagated ... See full document
6
Prediction of prostate cancer by deep learning with multilayer artificial neural network
... mainly based on elevated serum prostate-specific antigen (PSA) and/or digital rectal examination ...32% based on the Surveillance, Epidemiology, and End Results (SEER) data ... See full document
13
Recurrent Neural Network Based Narrowband Channel Prediction
... Adaptive modulation is capable of substantially improving the achievable system performance, provided that the relevant channel state information (CSI) can be accurately predicted [1], [2]. In high- rate broad-band ... See full document
5
Application of artificial bee colony algorithm to select architecture of a optimal neural network for the prediction of rolling force in hot strip rolling process
... Rolling force is playing a very important role in aluminum tandem hot rolling, which affects the rolling schedule, the thickness and strip shape of the products. Today, market demands are growing increasingly strict for ... See full document
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AN ENHANCED RULE APPROACH FOR NETWORK INTRUSION DETECTION USING EFFICIENT DATA ADAPTED DECISION TREE ALGORITHM
... Multi-step prediction is a kind of typical prediction algorithm, it obtained in consecutive predicted value of multiple time points based on the previous measurement ...multi-step prediction, ... See full document
5
Recurrent Neural Network based Prediction of Software Effort
... a prediction for future software ...effort prediction, to enhance software effort estimation ...feed-forward neural network in recurrent fashion to make a prediction and adapt to handle ... See full document
7
Different Data Mining Approaches for Predicting Heart Disease
... Artificial Neural Network, Naive Bayes, and Decision tree are ...that neural network technique is best suitable for the ...the prediction system for cardiac diseases using more number ... See full document
5
A Study on Network-On-Chip architecture using Genetic Algorithm
... Thus NoC, a new design methodology results in increase in performance over conventional bus system. Conventional NoC architecture is limited by long latency and high power consumption, which can be solved by GA ... See full document
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