WiMi Hologram adopts group intelligence algorithm for artificial neural network

WiMi Hologram Cloud adopted a group intelligence algorithm to optimize the artificial neural network. This algorithm facilitates the process of determining the network structure and the training of the artificial neural network. The group intelligence algorithm is better at finding the optimal connection weights and biases during training compared to traditional algorithms. The group intelligence algorithm is a meta-heuristic optimization algorithm inspired by observing the behavioral patterns of groups of animals and insects as their environment change. These algorithms use the simple collective behavior of certain groups of biological organisms to generate group intelligence. This allows group intelligence algorithms to solve complex optimization problems using the interaction between groups of artificial search agents and the environment. Group intelligence algorithms can solve different types of optimization problems, including continuous, discrete or multi-objective optimization problems. Therefore, they have a wide range of applications in various fields.