[PDF] Top 20 A Prediction Method for Galloping of Transmission Lines Based on Improved Neural Network
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A Prediction Method for Galloping of Transmission Lines Based on Improved Neural Network
... a method of searching the optimal solution by simulating the natural selection and genetic mechanism of Darwin's biological ...search method. Genetic algorithm searches based on making full use of ... See full document
8
Research on Railway Passenger Flow Prediction Method Based on GA Improved BP Neural Network
... BP neural network railway passenger traffic prediction model is not accurate for the prediction results for certain holidays, and has a large deviation from the real value, and the genetic ... See full document
10
The Prediction of Stock Price Based on Improved Wavelet Neural Network
... and neural net- work (NN), wavelet neural network (WNN) [5] ...analysis method, but stock market is a large of nonlinear dynamic system and share price index is out of ...technique ... See full document
6
Design of Order Demand Forecasting System Based on Neural Network
... the prediction accuracy, neural network and gray theory are combined to construct a gray neural network order forecasting ...optimal neural network parameters are obtained ... See full document
7
Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm Pages 71-80 Download PDF
... is transmission network ...for transmission network ...and network losses are in conflict with each other, so the component losses in TNEP would be a multi-criteria decision making ... See full document
10
Tourist traffic prediction method based on the RBF neural network
... accurate prediction model which can reflect on tourist flow and has quantitative relation with other ...traffic prediction method is proposed based on the RBF neural ...This ... See full document
5
Artificial Neural Network Based Method for Location and Classification of Faults on a Transmission Lines
... successful network design. In the process of learning the neural network presented with pairs of input and output data then teaches how to produce the output when the corresponding input is ... See full document
6
Transmission lines fault detection using Discrete Wavelet Transform and artificial neural network algorithm
... three-phase transmission line, which is primarily based upon the discrete wavelet transformation (DFT) and back propagation neural network ...propagation neural network ... See full document
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The Research of Low Earth Orbit Prediction of Satellite Based on Deep Neural Network
... Orbit prediction were usually achieved through the two lines elements (TLE) provided by North American Aerospace Defense Command ...specific method, the average orbit element of cycle disturbance was ... See full document
9
Transmission Line Galloping Prediction Based on Numerical Weather Prediction Results
... modeling method combining mechanism research and statistical analysis is used: in the extraction of early warning feature parameters, the meteorological disaster with clear and thorough data and information, and ... See full document
7
SOM Improved Neural Network Approach For Next Page Prediction
... In 2003, Alexandros Nanopoulos present a new context for the interpretation of Web prefetching algorithms as Markov predictors. Author identifies the factors that affect the performance of Web prefetching algorithms. ... See full document
6
Oil Price Forecasting Based on EMD and BP AdaBoost Neural Network
... EMD method to decompose crude oil price data, and proposes an oil price forecasting method based on EMD and BP_AdaBoost ...decomposition method is used to decompose the crude oil price series ... See full document
10
Research on SOC Prediction of Lithium Battery Based on Whale and Genetic Algorithm Optimized Elman Neural Network
... recurrent neural network, Elman neural network has a simple structure and can adapt to time-varying characteristics, which have led to its widespread application in the field of SOC ...simple ... See full document
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OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... RBF neural network. PSO algorithm is a new fast optimization method, which has fast convergence rate, high robustness, and strong global search capability and is easy to implement, etc ...RBF ... See full document
6
Neural Network Based Rainfall Prediction
... forward neural network popularly called as multilayer perceptrons consists of multiple layers of computational units, usually interconnected in a feed-forward ...of neural network we take 25 ... See full document
9
Deep neural network method for the prediction of xylitol production
... deep neural network has been used. Deep neural network is one of the methods from deep ...is based on the deep learning method to predict binding affinity of a protein to a DNA ... See full document
6
The Effects of Wind Induced Conductor Motion on Accreted Atmospheric Ice
... power transmission lines, they are still vulnerable to winds and storms, particularly in cold regions where atmospheric ice accretes on network ...power transmission lines are ... See full document
8
A Literature Survey on Artificial Neural Network for Fault Detection of HVDC Transmission
... HVDC transmission system has creasing day by day in most of the countries especially in Asia and Europe due to rapid develop ment and civ ilization of ...HVDC transmission system. The methods like ... See full document
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Neural Network-Based Fuel Price Prediction
... varying environments will be helpful not only for investors but also for the common man to plan his budget according to his /her salary. Thus, neural networks can use used as an effective tool in predicting the ... See full document
6
Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... From the graph, it can be concluded that the training effect of CSAPSO-BP ANN model is good, and the predicted value and actual value of the model are relatively good. By training the set of trained models, the ... See full document
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