[PDF] Top 20 Artificial Neural Network Training By Using Regrouping Particle Swarm Optimization

Artificial Neural Network Training By Using Regrouping Particle Swarm Optimization

... the Regrouping-PSO. Similarly when applying Regrouping PSO for ANN training the best values of weights and biases for which the objective function is minimum can be obtained when compared with the ... See full document

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Hybrid Intuitionistic Fuzzy Fused Quantum Particle Swarm Intelligence for the Prediction of Dyslexia

... done using fuzzy methods which are used to learn medical diagnosis approaches specifically in [3, 9 and 1] used fuzzy techniques in the diagnosis of disabilities in ...handled using intuitionistic fuzzy ... 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 ...longer training time to produce the output and the usage of ... See full document

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Estimating SPT N value based on soil resistivity using hybrid ANN PSO algorithm

... N-value using resistivity data. This study proposes a hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) method to estimate N value using ... See full document

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A HYBRID METHOD OF LINGUISTIC APPROACH AND STATISTICAL METHOD FOR NESTED NOUN COMPOUND EXTRACTION

... The Artificial Bee Colony Algorithm (ABC) is a heuristic optimization method based on the foraging behavior of honey ...the particle swarm optimization (PSO) that can directly use the ... See full document

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Network Anomaly Detection using PSO ANN

... Particle swarm optimization (PSO) [1] [2] [17] is a stochastically global optimization method that belongs to the family of Swarm Intelligence [14] and Artificial ...to ... See full document

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Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand

... proposed using Genetic Algorithm (GA)and Particle Swarm Optimization (PSO) for Artificial Neural Network (ANN) to improve the estimation of electricity demand of the state ... See full document

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A FASTER ESTIMATION ALGORITHM APPLIED TO POWER QUALITY PROBLEMS

... faster training algorithm for estimation ...utilizes particle swarm optimization combined with gradient descent to train weights of neural ...of neural network i.e. ... 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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Maximum Power Point Tracking of Photovoltaic Generators Partially Shaded Using a Hybrid Artificial Neural Network and Particle Swarm Optimization Algorithm

... Photovoltaic (PV) is one of the most promising renewable sources due to its environmental friendliness and low maintenance cost [1, 2]. The Photovoltaic Generators output characteristics are nonlinear as it always varies ... See full document

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Improving Fault Prediction using ANN PSO in Object Oriented Systems

... weight optimization is by using Genetic algorithms ...global optimization characteristics which helps the ANN to have a higher prediction accuracy and faster convergence compared to BP ...weight ... See full document

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Particle swarm optimization for neural network learning enhancement

... 2 used learning algorithm for training NN (Zweiri et al., 2003). BP algorithm is used in NN learning process for supervised or associative learning. Supervised learning learns based on the target value or the ... See full document

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Hybrid particle swarm optimization-artificial neural network gender classifier for trabecular bone morphology

... O’farrell, M., Lewis, E., Flanagan, C., Lyons, W., and Jackman, N. (2005). Comparison of< i> k</i>-NN and neural network methods in the classification of spectral data from an optical ... See full document

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Artificial Neural Network Learning Enhancement using Bacterial Foraging Optimization Algorithm

... in training a feed forward multilayer perceptron ...of swarm intelligence that is based on the brooding behavior of some kinds of cuckoo ...attained using Particle Swarm ... See full document

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Medical Image Compression using Neural Network with HGAPSO Optimization

... feed-forward neural network for compression of medical images with optimization of weights using hybrid genetic and particle swarm (HGAPSO) optimization ...The ... See full document

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Grammatical Differential Evolution Adaptable Particle Swarm Optimizer for Artificial Neural Network Training

... adaptable particle swarm optimizer with current-to-best/1 is applied to training Feed-forward Neural Network for solving XOR ...in training FNN for classification of real world ... See full document

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Learning enhancement of radial basis function neural network with harmony search algorithm

... for training RBF networks, such as the gradient descent (GD) algorithm and Kalman filtering ...global optimization methods could be applied for training RBF networks in accordance with the various ... See full document

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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 ... 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

7

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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