A MDPSO-Based Constructive ELM Approach With Adjustable Influence Value
A MDPSO-Based Constructive ELM Approach With Adjustable Influence Value is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include node, particle swarm optimization, artificial intelligence, transfer learning, computer science, algorithm, greedy algorithm, graph dimension, artificial neural network, value, constructive, extreme learning machine, machine learning, and hidden node problem. The authors developed a new constructive method to improve the efficiency of the model by evolving the hidden nodes with multi dimension particle swarm optimization and applying an influence value for each node to constrain the effect of each node, which prevents the model construction from becoming greedy.