artificial neural network optimization
Artificial Neural Network and Particle Swarm Optimization in Orange Identification
... of artificial neural networks and meta-heuristic algorithms can provide satisfying solutions to these ...of artificial neural networks and Particle Swarm Optimization (ANN-PSO) in ...
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Comparative Study of Artificial Neural Network and Response Surface Methodology for Modelling and Optimization the Adsorption Capacity of Fluoride onto Apatitic Tricalcium Phosphate
... Abstract In this study, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to develop an approach for the evaluation of fluoride adsorption process. A batch ...
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Optimization of underwater wet welding process parameters using neural network
... an artificial neural network (ANN) which is capable of solving difficult and complex ...the neural network control of the input parameters as shown in Figure ...
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Deep learning : an introduction for applied mathematicians
... an artificial neural network using a simple ...general network. Training a network, which involves the solution of an optimization problem, is the main computational challenge in ...
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A Quantitative Structure-activity Relationships
... (CAPSO) is proposed, which is used to molecular descriptors screening and optimization of the 15.. weights of back propagation artificial neural network (BP ANN).[r] ...
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Optimization of Medium Components Using Artificial Neural Networks
... formulated. Optimization of medium components for reach high cell density and consequently high yield production is a common practice in the ...with artificial neural ...
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Diagnosis of Breast Cancer by Combining the Techniques of Data Mining and Artificial Immune System
... of neural network weights is done using an artificial immunological clonal ...the neural network, evolutionary optimization method will be used and usually the function arguments ...
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Optimization of EDM Process Parameters by Using Artificial Neural Network: A Review
... Back propagation neural network with GA values compared with the regression models based on the RSM method. Better prediction values were attained by ANN and GA than RSM regression equation. 2013 Agrawal et ...
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Applications of Particle Swarm Optimization
... An Artificial Neural Network, often just called a neural network, is a mathematical model inspired by biological neural ...A neural network consists of an ...
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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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E Learning Optimization Using Supervised Artificial Neural Network
... of neural networks is to provide powerful solutions to associations, classifications, clusters and predictions ...Moreover, neural networks possess the destiny to impart from experience in order to change ...
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Process Parameters Optimization Using Jaya Algorithm During Edm Machining Of Niti60 Alloy
... multi-objective optimization during micro-WEDM process, the obtained results shows development in output parameters achieved ...(GRA), artificial neural network method and fuzzy logic ...
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... ANN configuration and Back-Propagation Algorithm (Levenberg –Marquardt (LM) algorithm): In the present study a feed forward back propagation ANN is configured for the classification and recognition of ...
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Vol 7, No 9 (2017)
... Swarm Optimization have already being utilized in this scenario ...using Artificial Neural Network. Artificial Neural Network is a classifier technique and used to ...
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APPLICATION OF ARTIFICIAL NEURAL NETWORK IN OPTIMIZATION OF SOAP PRODUCTION
... problems, Neural Network (NN) algorithms are applied in obtaining the shortest possible way to the most feasible ...the Neural Network solve complex problems through the network of ...
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Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
... lead optimization and pre-clinical in vitro & in vivo ...Swarm Optimization, Ant Colony Optimization, Artificial Neural Network, Fuzzy logic, Genetic Algorithm, Genetic ...
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Shape Optimization of Pedestals Using Artificial Neural Network
... A pedestal of height 3000mm and and width of top and bottom surface 300mm and 500mm is shown in Fig.6. Let P be the concentrated load at the top surface of the pedestal. Thickness of the pedestal is 150mm. Let X and Y be ...
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Vol 5, No 1 (2013)
... on artificial intelligence algorithms. Neural network optimization based on three basic parameters topology, weights and the learning rate is a powerful ...the network structure and ...
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OPTIMIZATION OF THE PROCESS CONSTRAINTS IN SPARK EROSION MACHINING OF ALUMINIUM ALLOY AA 6061 HYBRID COMPOSITES USING ARTIFICIAL NEURAL NETWORK
... implement Artificial Neural Network (ANN), to improve spark erosion machining performance of aluminum alloy AA 6061 hybrid composites by controlling the process constraints, which is suitable for bio ...
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Neural Network Priority Use of BTS for Optimizing Telecommunications in Indonesia
... designing Artificial Neural Network modeling system which will be used to determine and recognize the pattern in predicting the villages becoming the priority of installation of BTS USO for ...
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