… search and the essential mechanism of information updating in particle swarm optimization,
a novel discrete particle swarm optimization (NDPSO) algorithm is proposed in which some …

… , such as neural networks and machine learning methods [3]. … parameters in SVM, a novel
approach, called PSO-SVM, has … have utilized PSO to explore the ideal training parameters of …

… the training accuracy of camera calibration method based on … calibration methods based
on neural network, this method … PSO-BP 算法首先通过PSO 算法在全局范围内进 行大致搜索,…

… using an artificial neural network (ANN) algorithm. The ANN model has been optimized based
on an improved genetic algorithm from six typical training … randomly initialized between 0 …

… The results were compared with the artificial neural network (… ANN also has a training
procedure but it requires complex … support vector machine with PSO. 1st International Conference …

… 初始化方法 1D-CNN layer initialization method … novel empirical mode decomposition with
support vector regression for wind speed forecasting[J]. IEEE Transactions on Neural Networks …

… new improved simplified particle swarm optimization (ISPSO) … Step 3: Initialize the ISPSO
algorithm parameters and strong … In this paper, a novel charging time prediction method, ie, …

… In this study,the neural network calibrator(NNC)based on ANN … In the input procedure,variables
are initialized in order to … By using transfer learning,our ANN is first trained to learn an …

… challenges of training neural network algorithms based on non-… Designing the topology of
graph neural networks:a novel … computing and particle swarm optimization neural network[J].…

… An upgraded multi-objective PSO algorithm was proposed in [16] … A novel nonlinear control
technique for thyristorcontrolled … ) is mapped using the iterative algorithm to initialize the first …