A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture | Paper Citation Record

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This paper cites Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example,

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This paper cites Goodfellow, Y.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Goodfellow, Y

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This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

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A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Deep learning,

Reference 4

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A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Dermatologist-level classification of skin cancer with deep neural networks,

Reference 5

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This paper cites A stochastic approximation method,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture A stochastic approximation method,

Reference 6

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This paper cites Identifying and attacking the saddle point problem in high- dimensional non-convex optimization,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Identifying and attacking the saddle point problem in high- dimensional non-convex optimization,

Reference 7

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This paper cites A new optimizer using particle swarm theory,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture A new optimizer using particle swarm theory,

Reference 8

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A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Unresolved cited work

Reference 9

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This paper cites Yang, Engineering Optimization: An Introduction with Meta- heuristic Applications.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Yang, Engineering Optimization: An Introduction with Meta- heuristic Applications

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This paper cites Genetic algorithms in control prob- lems,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Genetic algorithms in control prob- lems,

Reference 11

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This paper cites A hybrid evolutionary algorithm for solving multiobjective optimization problems,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture A hybrid evolutionary algorithm for solving multiobjective optimization problems,

Reference 12

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A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Unresolved cited work

Reference 13

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This paper cites The particle swarm—explosion, stability, and convergence in a multidimensional complex space,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture The particle swarm—explosion, stability, and convergence in a multidimensional complex space,

Reference 14

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This paper cites Optimal power flow using particle swarm optimization,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Optimal power flow using particle swarm optimization,

Reference 15

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This paper cites Task scheduling based on particle swarm optimization in grid environment,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Task scheduling based on particle swarm optimization in grid environment,

Reference 16

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This paper cites Human-level control through deep reinforce- ment learning,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Human-level control through deep reinforce- ment learning,

Reference 17

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This paper cites Policy gradient methods for reinforcement learning with function approximation,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Policy gradient methods for reinforcement learning with function approximation,

Reference 18

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This paper cites Increasing generality in machine learning through neuroevolution,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Increasing generality in machine learning through neuroevolution,

Reference 19

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This paper cites Evolving neural networks through augmenting topologies,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Evolving neural networks through augmenting topologies,

Reference 20

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This paper cites Eiben and J.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Eiben and J

Reference 21

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This paper cites Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

Reference 22

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This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 23

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This paper cites Mitchell, An Introduction to Genetic Algorithms.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Mitchell, An Introduction to Genetic Algorithms

Reference 24

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This paper cites Adaptive selection methods for genetic algorithms,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Adaptive selection methods for genetic algorithms,

Reference 25

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This paper cites A comparative evaluation of genetic algorithms and backpropagation for training neural networks,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture A comparative evaluation of genetic algorithms and backpropagation for training neural networks,

Reference 26

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This paper cites Efficient and accurate parallel genetic algorithms,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Efficient and accurate parallel genetic algorithms,

Reference 27

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This paper cites Particle swarm optimization: Techniques, system and challenges,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Particle swarm optimization: Techniques, system and challenges,

Reference 28

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This paper cites A hybrid particle swarm optimization with gradient-based method for training feedforward neural networks,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture A hybrid particle swarm optimization with gradient-based method for training feedforward neural networks,

Reference 29

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This paper cites Particle swarm optimization: Velocity initialization and parameters selection,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Particle swarm optimization: Velocity initialization and parameters selection,

Reference 30

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This paper cites Particle swarm optimization for product unit neural networks,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Particle swarm optimization for product unit neural networks,

Reference 31

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This paper cites Leapfrog optimizer: A new method for optimizing neural networks,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Leapfrog optimizer: A new method for optimizing neural networks,

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This paper cites Performance comparison of pso, ga, and sgd algorithms on different function evaluation criteria,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Performance comparison of pso, ga, and sgd algorithms on different function evaluation criteria,

Reference 33

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This paper cites A comparative study of genetic algorithms for neural network training,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture A comparative study of genetic algorithms for neural network training,

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This paper cites Parameter selection in particle swarm op- timization,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Parameter selection in particle swarm op- timization,

Reference 35

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This paper cites Benchmarking evolutionary algorithms for training neural networks,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Benchmarking evolutionary algorithms for training neural networks,

Reference 36

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This paper cites Combining metaheuristics and gradient-based local search for training neural networks,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Combining metaheuristics and gradient-based local search for training neural networks,

Reference 37

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This paper cites A Survey on Universal Approximation Theorems.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture A Survey on Universal Approximation Theorems

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This paper cites Mitchell, An Introduction to Genetic Algorithms.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Mitchell, An Introduction to Genetic Algorithms

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This paper cites Random search for hyper-parameter opti- mization,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Random search for hyper-parameter opti- mization,

Reference 40

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This paper cites Performance analysis of evolutionary algorithms on rastrigin function,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Performance analysis of evolutionary algorithms on rastrigin function,

Reference 41

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This paper cites A literature survey of benchmark functions for global optimization problems,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture A literature survey of benchmark functions for global optimization problems,

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This paper cites Problem definitions and evaluation criteria for the cec 2013 special session on real-parameter optimization,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Problem definitions and evaluation criteria for the cec 2013 special session on real-parameter optimization,

Reference 43

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This paper cites Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods,

Reference 44

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This paper cites An empirical evaluation of ensemble-based multi-objective optimization algorithms: the case of airfoil self-noise,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture An empirical evaluation of ensemble-based multi-objective optimization algorithms: the case of airfoil self-noise,

Reference 45

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This paper cites Best practices for comparing optimization algorithms,.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture Best practices for comparing optimization algorithms,

Reference 46

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This paper cites A Survey on Activation Functions and their relation with Xavier and He Normal Initialization.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture A Survey on Activation Functions and their relation with Xavier and He Normal Initialization

Reference 47

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