[PDF] Top 20 Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model
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Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model
... ANN model outperformed the GP ...of using publicly available climate data with suitable feature selection methods to predict the windspeed ...ANN model developed in this research can be ... See full document
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Concrete strength prediction using artificial neural network and genetic programming
... ANN model with input param- eters as water to binder ratio, fine aggregate ratio, water content, fly ash content ...2006). Prediction of the strength characteristics and workability and Young’s modulus of ... See full document
10
Prediction and Optimization of Blast Furnace Parameters using Artificial Neural Network
... Feed-forward Neural network was used to predict and control the temperatures of the different blast furnace zones using 9 input ...forward neural network ...the network to adjust ... See full document
8
A comparative study of concrete strength prediction using artificial neural network, multigene programming and model tree
... viz. Artificial Neural Network (ANN), MultiGene Genetic Pro- gramming (MGGP) and Model Tree (MT) are used sepa- rately to develop models to predict strength of Recycled aggregate ... See full document
20
Development of accident prediction model by using artificial neural network (ANN)
... ϰ Malaysian Police (PDRM) in Laporan Tahunan PDRM 2008 for the total of road accident follows of road category for Ops Sikap 2007 and 2008 in Malaysia, Table 1.2 showed the accident occurs in federal route jotted the ... See full document
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Optimization of Hybrid Journal Bearing using Artificial Neural Network and Genetic Algorithm
... bearing optimization have been carried out and reported in the available ...hybrid optimization technique that combines the direct search and successive quadratic programming methods for the ... See full document
9
Artificial Neural Network Model for Friction Factor Prediction
... when compared with the Colebrook equa- tion. When compared with the available non ANN-based explicit and existing ANN friction factor models, it out- performs the existing ANN models and compares well with ... See full document
7
Tool Life Prediction Model Using Regression and Artificial Neural Network Analysis
... and artificial neural network) for predicting tool life in end milling are ...regression model and feed forward back propagation artificial neural network ...are ... See full document
8
Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model
... simulation model can be developed to predict the actual condition of engine performance by using the artificial neural network ...predictive model for a specific application, and ... See full document
14
Prediction of Skin Penetration using Artificial Neural Network
... Keywords: Artificial Neural Network, Mean Square Error, Correlation Coefficient, Abraham ...activity using regression analysis 6 ...parameters. Compared with the mechanism model, ... See full document
6
Blood Donation Prediction using Artificial Neural Network
... donors using four types of decision trees ...performing model, the C5.0 tree, had 41 rules compared to only 13 (CHAID), 8 (CART), and 5 ...first using two-step clustering before employing the ... See full document
7
Artificial Neural Network Model for the Prediction of Thunderstorms over Kolkata
... weather prediction, due to their rather small spatial and temporal extension and the inherent non-linearity of their dynamics and ...on artificial neural network (ANN) model to predict ... See full document
6
A Hybrid Model using Artificial Neural Network and Genetic Algorithm for Degree of Injury Determination
... injury model is a hybrid technique of Artificial Neural Network with Genetic Algorithm (ANN-GA) to optimize the weight of Artificial Neural ...This model is used ... See full document
9
Prediction of Stock Market in Nigeria Using Artificial Neural Network
... as optimization, control system, neural network; etc allows one to quickly build simulations and models for applications across a range of disciplines with limited coding from ...view model ... See full document
7
PREDICTION OF RAINFALL MAGNITUDE IN ENUGU USING THE ARTIFICIAL NEURAL NETWORK
... the neural network that will latch on the observed weather to predict in a timely instant the rainfall variations leading to the magnitude/intensities of the weather ...is compared with the results ... See full document
8
Rainfall Prediction Using Artificial Neural Network
... tiga model yang digunakan, model 3 merupakan model prediksi terbaik pada stasiun Bojonegoro, Indramayu, Ciomas, Poetere, Kendari, Naibonat, Uthan Rhee, dan Gerung dengan koefisien determinasi lebih ... See full document
11
MPG Prediction Using Artificial Neural Network
... 2008 model year cars classified as "midsize" by the US EPA ranged from 11 to 46 mpgUS(21 to 5 L/100 km)4 However, due to environmental concerns caused by CO2 emissions, new EU regulations are being ... See full document
10
Diabetes Prediction Using Artificial Neural Network
... and prediction of diabetes due to insufficient control of blood glucose increases macro vascular and Capillaries difficulties risk, ocular diseases and kidney failure [1, ... See full document
12
Rainfall Prediction Using Artificial Neural Network
... tiga model yang digunakan, model 3 merupakan model prediksi terbaik pada stasiun Bojonegoro, Indramayu, Ciomas, Poetere, Kendari, Naibonat, Uthan Rhee, dan Gerung dengan koefisien determinasi lebih ... See full document
11
A Survival Prediction Model for Rats with Hemorrhagic Shock Using an Artificial Neural Network
... 인공신경망(artificial neural network)은 사람의 뇌 구 조를 모방하는 알고리즘이며, 학습이나 기억 같은 생물학 적 체계를 모방하기 위해 수학 방정식을 이용한다 9) . 이 알 고리즘의 궁극적인 목적은 회귀모델과 같이 예측하는데 있 다. 특히 데이터 간의 주요한 상호작용, 복잡한 비선형성을 띄고 있을 때 고전적인 회귀분석보다 예측력이 더 ... See full document
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