… In this paper, a new initialization technique called Adaptive weight PSO with initializing …
Another novel variant of PSO trained neural network (NN-PSO) is presented in [11]. This …

… proposed a novel pseudorandom initialization strategy called the … We have compared the
novel techniques with the basic … that the training of neural networks with the WE-PSO algorithm …

… PSO for optimizing input parameters and the results showed that the suggested novel ANN is
the most efficient method … The algorithm is initialized with n players, half of which will play in …

… Input parameters are initialized within the specified range, … different kinds of optimization
techniques such as PSO, EA, CSA, … novel way of solving optimization tasks by the neural network…

… Unfortunately, the training of simple recurrent neural networks is problematic because of …
a new training algorithm based on particle swarm optimization. The algorithm does not use …

… , simulated annealing, tabu search methods, particle swarm optimization, genetic algorithm
… weight optimization and weight initialization techniques for non-iterative training have been …

… This paper introduces a novel PSO-GA based hybrid training … Adam Optimization for training
Artificial Neural Networks. We aim … Since the initialization of the weights may play a decisive …

… In this research, random initialization in used for assigning … of the PSO and backpropagation
as neural networks training … layer perceptron NN as a novel training approach to cover the …

… , chaotic initialization methods are proposed for PSO applied to … We introduce a novel chaotic
particles swarm optimization (… The training and test phase require respectively 70% and 30…

… use of PSO in training artificial neural networks (ANNs), many researchers have castoff this
algorithm as a suitable trainer to train … In this study, the weight vectors are randomly initialized …