[PDF] Top 20 Artificial Neural Network and Particle Swarm Optimization in Orange Identification
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Artificial Neural Network and Particle Swarm Optimization in Orange Identification
... Classification is the last stage in typical computer vision systems, such as those intended for fruit variety recognition. A set of tuple of features is given as input, the classifier is to predict the most likely class ... See full document
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Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
... of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast ...and optimization methods that had been used to model the function of harvesters ... See full document
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Maximum Power Point Tracking of Photovoltaic Generators Partially Shaded Using a Hybrid Artificial Neural Network and Particle Swarm Optimization Algorithm
... proposed particle swarm optimization with artificial neural network (ANN-PSO) is investigated when the PV generators perform under standard test and partially shaded ... See full document
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Artificial Neural Network Training By Using Regrouping Particle Swarm Optimization
... Artificial Neural Networks are inspired by the Human ...interconnected neural computing elements called as ...output Particle Swarm Optimization is used ...an ... See full document
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Hybrid particle swarm optimization-artificial neural network gender classifier for trabecular bone morphology
... nonhuman identification which are depends on comparative skeletal anatomy by atlas used as a reference ...Positive identification achieved when the part of nonhuman bones ... See full document
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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 ... See full document
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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 ...as Particle Swarm Optimization, Ant Colony Optimization, Artificial Neural Network, Fuzzy logic, ... See full document
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Estimating SPT N value based on soil resistivity using hybrid ANN PSO algorithm
... Abstract. Standard Penetration Resistance (N value) is used in many empirical geotechnical engineering formulas. Meanwhile, soil resistivity is a measure of soil's resistance to electrical flow. For a particular site, ... See full document
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Particle swarm optimization for neural network learning enhancement
... An Artificial Neural Network (ANN) or commonly referred as Neural Network (NN) is an information processing paradigm that is inspired by the way biological nervous systems process the ... See full document
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Title: DIABETES DIAGNOSIS USING MACHINE LEARNING
... Abstract— Artificial neural networks have been in the position of producing complex dynamics in control applications over the last decade, especially when they are linked to ...for network design, ... See full document
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Differential evolution for neural networks learning enhancement
... the optimization of a certain multi-dimensional ...on Artificial Neural Network (ANN) ...of neural network ...forward neural network to enhance the learning process ... See full document
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Hybrid Intuitionistic Fuzzy Fused Quantum Particle Swarm Intelligence for the Prediction of Dyslexia
... quantum particle swarm optimization which involves in the assignment of weights to those instances with multi-class labels, more ...standard artificial neural network is ... See full document
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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 ... See full document
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Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand
... (GA)and Particle Swarm Optimization (PSO) for Artificial Neural Network (ANN) to improve the estimation of electricity demand of the state of Tamil Nadu in ...single ... See full document
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PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
... the identification is qualitative in most situations. In the paper, a neural network optimized by particle swarm optimization (PSO) is used to quantify the detection result ... See full document
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Learning enhancement of radial basis function neural network with harmony search algorithm
... global optimization methods could be applied for training RBF networks in accordance with the various science and engineering ...the particle swarm optimization (PSO) algorithm, the ... See full document
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Simulation and Optimization Techniques for Sawmill Yard Operations—A Literature Review
... perform optimization through “what if” case studies involving the comparison of several cases or scenarios ...of artificial systems in order to predict what might happen should such a sys- tem come into ... See full document
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A Comparison Between GA and PSO Algorithms in Training ANN to Predict the Refractive Index of Binary Liquid Solutions
... 2.1. Artificial neural network algorithm (ANN) The applicability of ANN in process industries and scientific research has been growing contin- uously in recent years ...the network ... See full document
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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... From the table 3, it can be seen that the single network may cause over-fitting problem which make the prediction ability decline. By comparison, ECPSO-NNE, which need only simple design process, has obtained ... See full document
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Optimized Neural Network-Based Improved Multiverse Optimizer Algorithm For Automated Arabic Essay Scoring
... frequent neural networks to handle the task of ...of neural network model architectures for AES and have obtained significant enhancements over a strong open-root ... See full document
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