[PDF] Top 20 An Inflation Rate Prediction Based on Backpropagation Neural Network Algorithm
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An Inflation Rate Prediction Based on Backpropagation Neural Network Algorithm
... the Backpropagation Neural Network (BPNN) algorithm to predict the opening of sharia trading ...exchange rate between Euro (EUR) and USD as much as 720 ...learning rate was ... See full document
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A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing
... optimization algorithm to deal with classification and prediction ...genetic algorithm (GA), and back propagation neural network (BPNN) in the application of classifying and diagnosing ... See full document
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A FUZZY BASED BUFFER SPLIT ALGORITHM FOR BUFFER ATTACK DETECTION IN INTERNET OF THINGS
... Recognition is regarded as a basic human attribute. In pattern recognition, there are many practical applications such as: handwriting, fingerprints, face recognition and many others. The purpose of the current work is ... See full document
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ECG SIGNAL ANALYSIS AND PREDICTION OF HEART ATTACK WITH THE HELP OF OPTIMIZED NEURAL NETWORK USING GENETIC ALGORITHM
... heart rate monitoring alert via ...beat rate of a patient. This heart rate measurement is based on the principle of photoplethysmography (PPG) ...beat rate per ... See full document
9
Prediction of Tool Life in Digital Workshop Based on Particle Swarm Optimized BP Neural Network Algorithm
... After the tool wear limit is determined, the tool life is related to the tool wear speed. The faster the wear rate, the shorter the tool life is. Therefore, factors that affect the tool wear rate will ... See full document
8
Model for tomato photosynthetic rate based on neural network with genetic algorithm
... photosynthetic rate prediction error obtained based on the weight matrix gradually ...genetic algorithm is approximated to the most targeted neighborhood, its fitness value will remain ... See full document
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APPLICATION OF CELLULAR AUTOMATA FOR MODELING AND REVIEW OF METHODS OF MOVEMENT OF A GROUP OF PEOPLE
... price/index based on previous information is useful for investors who need to buy or sell the ...artificial neural networks that proved to be effective ...genetic algorithm (GA) to select significant ... See full document
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Weather prediction using Neural Network Backpropagation
... using Neural Network Backpropagation (BPP) for quantitative prediction of Rainfall ...of Neural Network backpropagation is built on N different attributes as input ... See full document
6
Daily Network Traffic Prediction Based on Backpropagation Neural Network
... Despite the fact, the MSE values of both the training are not desired, but these values have been relatively small and approached. From the results of the training that the first training smallest MSE was 0.4604679 with ... See full document
6
Analysis of Backpropagation Algorithm in Predicting the Most Number of Internet Users in the World
... gradient algorithm is superior because it produces smaller ...bank based on its core capital which is above 30 trillion Rupiah in 2013 with the Backpropagation Neural Network ...the ... See full document
6
Backpropagation Neural Network Algorithm for Water Level Prediction
... flood prediction including early warning systems should be developed using appropriate ...propagation neural network algorithm for water level prediction and produce web-based ... See full document
7
Development of a Genetic based Neural Network System for Online Character Recognition
... genetic algorithm as a tool to find an optimal subset of the stroke ...Recognition rate of ...standard backpropagation and genetic algorithm for recognition of uppercase ...Recognition ... See full document
8
Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning
... in [18], with the addition of just two more subjects, both of whom were independently verified by a pediatric ophthalmologist. Thus, the total was 39 test subjects: 19 properly consented patients with known abnormalities ... See full document
23
A Study of Bad Driving Behavior Based on Improved K Means Clustering and Neural Network
... process. Based on the driver's driving behavior characteristics and driving industry management standards, this paper proposes a bad driving behavior evaluation method based on improved k-means clustering ... See full document
10
Stock Market Prediction Model by Combining Numeric and News Textual Mining
... clear idea about the market or firm for investment. The growth, the dividend payout, the interest rates, the risk of investment, the sales level, tax rates and so on are the variables used to determine the 'real' value ... See full document
7
Hybrid learning-based model for exaggeration style of facial caricature
... primarily based on Artificial Neural Network (ANN), related methods which are Backpropagation Neural Network (BPNN), GA and Hybridization of both ... See full document
47
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
... Back-propagation neural networks (BPNN) for prediction of rolling force：The theory of neural networks is inspired by the structure of the brain and how it processes a huge amount of information ... See full document
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Prediction of Salinity Variations in a Tidal Estuary Using Artificial Neural Network and Three Dimensional Hydrodynamic Models
... artificial neural network (ANN) technique using a back-propagation neural network (BPNN) and a radial basis function neural net- work (RBFNN) is adopted as an effective alternative in ... See full document
22
Modular Neural Network Approach for Data Classification
... Classification is a challenging task that has important application in real life and its application are excepted to grow more in future. In this paper, we analyze the effectiveness of Modular Neural ... See full document
9
Research of adaptive control algorithm research based on rough set and implementation
... that, based on "the instinct of a man - in a car accident before turn to the left" theory , other factors are unchanged under two lanes to research the minimum safe distance problem under two kinds of ... See full document
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