hybrid artificial neural network
Artificial Neural Network and Hybrid ANN Models for the Prediction of Particulate Matter (PM10) Concentration, Trivandrum (India)”,
... a Hybrid Artificial Neural ...and hybrid ANN models were developed for Trivandrum district and the model performance was compared by statistical ...
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Neural Networks using Genetic Algorithms
... “Hybrid artificial neural network/genetic algorithm approach to on-line switching operations for the optimization of electrical power systems” had intended to present an approach to decision ...
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Soft Computing Stock Market Price Prediction for the Nigerian Stock Exchange
... models- Artificial Neural Network (ANN) and Fuzzy Artificial Neural Network (FANN) hybrid model were used to forecast the next day’s closing ...
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Estimation of LLE Data for Binary Systems of N-Formylmorpholine with Alkanes Using Artificial Neural Network–Genetic Algorithm (ANN–GA) Model
... the hybrid neural network and genetic algorithm were successfully applied to estimate the LLE ...forward neural network. The best architecture for the network has one hidden ...
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Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... of neural networks for modeling precipitation - runoff in the basin Aq Chay Iran ...the neural network ...from artificial neural networks and Adaptive Neural-Fuzzy Inference ...
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Comparison of product quality estimation of propylene polymerization in loop reactors using artificial neural network models
... using artificial neural network (ANN) model, serial hybrid neural network (HNN) model and stacked neural network (SNN) ...
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Artificial Neural Network Based Hybrid Algorithmic Structure for Solving Linear Programming Problems
... suggested training and learning of parameters and constraints. This training is possible in real world application by applying artificial neural network (ANN).The ANN has applied for various ...
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HAND WRITING RECOGNITION USING HYBRID PARTICLE SWARM OPTIMIZATION & BACK PROPAGATION ALGORITHM
... Artificial Neural Network (ANN) has been around since the late ...recognition. Artificial Neural Network (ANN) is a collection of very simple and massively interconnected ...the ...
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Improved Segmentation algorithm using PSO and K means for Basal Cell Carcinoma Classification from Skin Lesions
... Dermoscopy Skin Lesion Image Dataset: Dataset utilized is composed of images from two sources: 1) Atlas of Dermoscopy by Argenziano [14]; 2) ISIC Archive [15]. Images in dataset were acquired randomly where each image ...
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Role of Knowledge Engineering in the Development of a Hybrid Knowledge Based Medical Information System for Atrial Fibrillation
... a hybrid knowledge based medical information ...systems, neural network, artificial intelligence, hybrid intelligent systems, data mining, decision support systems, and knowledge based ...
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A Hybrid Approach for Breast Cancer Classification and Diagnosis
... combining artificial intelligent based learning technique with multivariate statistical ...a hybrid feature selection method to be used with PCA (Principal Component Analysis) and Artificial ...
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An evolutionary algorithm based Feature extraction and selection to Persian and Arabic Handwritten Recognition
... a hybrid approach using artificial neural network evolutionary algorithms algorithm is proposed that can be used to distinguish handwritten ...
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A Three-phase Hybrid Times Series Modeling Framework for Improved Hospital Inventory Demand Forecast
... a hybrid framework consist- ing of a linear and a nonlinear component to improve forecasting of operating rooms’ pharmaceutical ...A hybrid modeling framework combining AutorRgressive Integrated Moving ...
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A Hybrid Model using Artificial Neural Network and Genetic Algorithm for Degree of Injury Determination
... Dr. Abdul Syukor Mohd Jaya, Senior Lecturer of Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Member of Center for Advanced Computing Technology (C-ACT). Received ...
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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 ...
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OPTIMIZATION OF THE PROCESS CONSTRAINTS IN SPARK EROSION MACHINING OF ALUMINIUM ALLOY AA 6061 HYBRID COMPOSITES USING ARTIFICIAL NEURAL NETWORK
... response dataset and neural network training and testing. The measured experimental values of the material removal rate during spark erosion mach- ining were used to develop the neural network ...
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Spam detection using hybrid of artificial neural network and genetic algorithm
... of neural network algorithm has been done to save time for parameter selection and to optimize network training in order to increase the performance of spam detection, and to evaluate the performance ...
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NeuroSVM: A Graphical User Interface for Identification of Liver Patients
... The hybrid model was developed with an aid to further increase the accuracy of liver disease ...the hybrid model along with artificial neural ...forward neural network was fed ...
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Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction
... two hybrid machine learning methods artificial neural network imperialist competitive algorithm and artificial neural network gray wolf ...
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Simultaneous Control of Artificial Limbs Based On Hybrid Extreme Learning Machine Algorithm
... of artificial neural network especially we apply hybrid extreme leaning machine (HELM) for pattern recognition to identify the motion of limbs and compare with existing ...
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