- A hybrid particle swarm optimization and recurrent dynamic neural ...🔍
- Training Recurrent Neural Networks by a Hybrid PSO🔍
- A hybrid particle swarm optimization algorithm for solving ...🔍
- A hybrid deep recurrent artificial neural network with a simple ...🔍
- A hybrid particle swarm optimization and its application in neural ...🔍
- Development of a Hybrid Artificial Neural Network|Particle Swarm ...🔍
- A hybrid particle swarm optimization–back|propagation algorithm for ...🔍
- A Hybrid Training Algorithm for Recurrent Neural Network Using ...🔍
A hybrid particle swarm optimization and recurrent dynamic neural ...
A hybrid particle swarm optimization and recurrent dynamic neural ...
A new hybrid approach combining particle swarm optimization (PSO) algorithm with recurrent dynamic neural network (RDNN), which is described as PSO-RDNN ...
A hybrid particle swarm optimization and recurrent dynamic neural ...
In the present work, a new hybrid approach combining particle swarm optimization (PSO) algorithm with recurrent dynamic neural network (RDNN), which is ...
A hybrid particle swarm optimization and recurrent dynamic neural ...
Abstract. In the present work, a new hybrid approach combining particle swarm optimization (PSO) algorithm with recurrent dynamic neural network (RDNN), ...
A hybrid particle swarm optimization and recurrent dynamic neural ...
In the present work, a new hybrid approach combining particle swarm optimization (PSO) algorithm with recurrent dynamic neural network (RDNN), ...
A hybrid particle swarm optimization and recurrent dynamic neural ...
Abstract In the present work, a new hybrid approach combining particle swarm optimization (PSO) algorithm with recurrent dynamic neural network (RDNN), ...
Training Recurrent Neural Networks by a Hybrid PSO
Particle swarm optimization (PSO); cuckoo search algorithm. (CS);Recurrent Neural Networks (RNN);Classification.. 1. INTRODUCTION. The artificial neural network ...
A hybrid particle swarm optimization algorithm for solving ... - Nature
Each algorithm is repeated ... Reliability prediction-based improved dynamic weight particle swarm optimization and back propagation neural ...
A hybrid deep recurrent artificial neural network with a simple ...
Training algorithms based on particle swarm optimization (PSO) and sine cosine optimization algorithm (SCO have been developed for the ...
A hybrid particle swarm optimization and its application in neural ...
... Hidden layer can be solved with transfer function. The frequent using is Log-sigmoid Equation (2) . Output Layer is "y".
Development of a Hybrid Artificial Neural Network-Particle Swarm ...
This study focuses on applying an artificial neural network trained by particle swarm optimization (ANN-PSO) to unravel the problem of traffic congestion.
A hybrid particle swarm optimization–back-propagation algorithm for ...
Hybrid PSO–BP algorithm and feedforward neural network training ... Salerno, Using the particle swarm optimization technique to train a recurrent neural model, in ...
A Hybrid Training Algorithm for Recurrent Neural Network Using ...
To reduce the final error, we present a new training method that is based on the concept of particle swarm optimization (PSO)[6] for finding the best-fit ...
A hybrid of genetic algorithm and particle swarm optimization for ...
An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning algorithm ...
Training a Feedforward Neural Network Using Hybrid Gravitational ...
A unique hybrid population-based strategy is designed to tackle the problem by combining dynamic multiswarm particle swarm optimization with ...
A Hybrid of Genetic Algorithm and Particle Swarm Optimization for ...
Index Terms—Dynamic plant control, elite strategy, recurrent neural/fuzzy work, temporal sequence production. I. INTRODUCTION. THE ADVENT OF evolutionary ...
Time Series Prediction with Recurrent Neural Networks using a ...
This new evolutionary learning algorithm is based on a hybrid of particle swarm optimization (PSO) and evolutionary algorithm (EA). By combining ...
Analytical Hybrid Particle Swarm Optimization Algorithm for Optimal ...
A hybrid particle swarm optimization and recurrent dynamic neural network for multi-performance optimization of hard turning operation · AI EDAMPub Date: 2022 ...
Gaussian mixture modeling for dynamic particle swarm optimization ...
However, many practical applications in, e.g., video and image processing involve optimizing a stream of recurrent problems, subject to noise. In such cases, ...
An adaptive dynamic evolution feedforward neural network on ...
A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design. Systems, Man, and Cybernetics-Part B ...
Learning an Artificial Neural Network Using Dynamic Particle Swarm ...
Therefore, the proposed hybrid algorithm combines the dynamic particle swarm ... evolutionary algorithm that constructs recurrent neural networks ...