[PDF] Top 20 A Hybrid Model using Artificial Neural Network and Genetic Algorithm for Degree of Injury Determination
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A Hybrid Model using Artificial Neural Network and Genetic Algorithm for Degree of Injury Determination
... WORKS Determination degree of injury model is a hybrid technique of Artificial Neural Network with Genetic Algorithm (ANN-GA) to optimize the weight ... See full document
9
Spam detection using hybrid of artificial neural network and genetic algorithm
... the model. The efficiency of the model is estimated using 10-fold cross validation and observed that Multilayer Perceptron classifier out performs other classifiers and the false positive rate also ... See full document
23
Optimization of Hybrid Journal Bearing using Artificial Neural Network and Genetic Algorithm
... hole-entry hybrid journal bearing having transverse roughness pattern is developed using Artificial Neural Network (ANN) and Multi Objective Genetic Algorithm ...of ... See full document
9
A hybrid artificial neural network - genetic algorithm for load shedding
... applying Artificial Neural Network (ANN) with Back Propagation (BP) algorithm in combination or hybrid with Genetic Algorithm (GA) to propose load shedding strategies in ... See full document
9
Study Of Hybrid Genetic Algorithm Using Artificial Neural Network In Data Mining For The Diagnosis Of Stroke Disease
... 7.1 Neural Network based Feature Selection Data are analyzed in the dataset to define column Parameters and data ...the neural network ...the algorithm finds an input that least ... See full document
6
A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing
... ABC is searching for the best solution among a set of populations through an updating process. The important activities of ABC are to share the indexes of the provided solutions, which are known as food sources. This ... See full document
10
Estimation of groundwater level using a hybrid genetic algorithm-neural network
... of neural networks, which is utilized in the most frequently mentioned studies for aquifers ...forward neural network; therefore, numerical weights of neuron connections and biases represent the ... See full document
13
Tuning the parameters of an artificial neural network using central composite design and genetic algorithm
... Mahdi Bashiri is Assistant Professor at Shahed University. He received his B.S. degree in Industrial Engineering from Iran University of Science and Technology in 1999 and his M.S. and Ph.D. degrees in Industrial ... See full document
9
Task Time Optimization of a Robot Manipulator using Artificial Neural Network and Genetic Algorithm
... proposed neural network was trained by a training set of 400 data while the testing was performed on 100 ...this neural network are the initial position and the final position of the four ... See full document
8
A New Approach to Persian and Arabic Handwritten Character Recognition with Hybrid of Artificial Neural Network and Genetic Algorithm
... systems using automated pattern recognition is one of the important issues in the field of Information ...combining artificial neural networks and genetic algorithms to recognize handwritten ... See full document
5
Mean bed shear stress estimation in a rough rectangular channel using a hybrid genetic algorithm based on an artificial neural network and genetic programming
... Hossein Bonakdari is a Professor at the Department of Civil Engineering of University of Razi. He earned his PhD degree in Civil Engineering at the University of Caen-France. Dr. Bonakdari had joined University of ... See full document
10
Genetic Algorithm Artificial Neural Network in Near Infrared Spectroscopic Quantification
... with genetic algorithm (SLM-GA) and PLS with GA (PLS-GA), the simulation set is, the population size sets to 100 whereas two different fitness functions were used as explained in ...SLM-GA algorithm ... See full document
8
Web Text Classification Using Genetic Algorithm and a Dynamic Neural Network Model
... method using a dynamic artificial neural network is presented in this ...uses genetic algorithm(GA) for feature engineering, in which most relevant features are extracted and ... See full document
7
Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model
... trainlm algorithm locates the minimum of a multivariate function that can be expressed as the sum of squares of non-linear real-valued ...learning algorithm is the most rapid learning algorithm tool ... See full document
32
Towards Solving Travelling Salesperson Problem using Hybrid of Genetic Algorithm and Lin Kernighan Algorithm: A Comparative Evaluation with Neural Network Model
... solution. Genetic algorithm combined with another local search algorithm shows more efficient result could be ...of genetic algorithm with a local search algorithm called ... See full document
9
Perbandingan Model Estimasi Artificial Neural Network Optimasi Genetic Algorithm dan Regresi Linier Berganda
... the model on Multiple Linear Regression is Ordinary Least ...is Artificial Neural ...data using ANN has some problems such as selection of network topology, learning parameters and ... See full document
11
A New Planning to Forecasting Fuel Consumption in Iran Transportation Using a Hybrid Algorithm and Artificial Neural Network
... main network, which is forecasting energy consumption, must be modelled by the two layer perceptron neural network using hybrid algorithm training ...the network are the ... See full document
14
Mitigating Economic Denial of Sustainability (EDoS) in Cloud Environment using Genetic Algorithm and Artificial Neural Network
... Fig. 1: Billing effect of cloud user due to EDoS attack [10] DDoS attack focuses to cease all the services provided by the service provider. Thus, in DDoS attack, the attacker interrupts maximum server resources in a ... See full document
7
Prediction of the Bombay Stock Exchange (BSE) Market Returns Using Artificial Neural Network and Genetic Algorithm
... the network with structure 6-19-3-1 was considered by the algorithm 61 times and it was not pre- sent in the final generation, while network 11-6-3-1 was considered 50 times and it was met 9 times in ... See full document
12
Forecasting electricity load demand using hybrid exponential smoothing-artificial neural network model
... proposed hybrid exponential smoothing state space and ANN to model the series with double seasonal ...TBATS model is able to decompose and forecast time series with complex seasonal ...ANN ... See full document
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