As an NDT technology, Eddy current testing is widely used to identify the surface flaw of metal material. However, due to the complex relationship between the test results and the flaw’s shape, the identification is qualitative in most situations. In the paper, a neural network optimized by particle swarm optimization (PSO) is used to quantify the detection result tentatively of the fault on th...

Abstract The state of charge (SOC) is a critical parameter in the battery management system (BMS), and its accurate estimation essential for ensuring safety reliability batteries. This paper presents lithium-ion SOC method that combines an improved neural network with filtering algorithm. Firstly, backpropagation (BP) algorithm chosen as architecture hybrid due to strong nonlinear approximation...

Loan default evaluation and discrimination is a complicated issue because of its nonlinearity and uncertainty. Least square support vector machine (LS-SVM) has been successfully employed to solve regression and time series problem. This paper proposes a novel PSO-LS-SVM model based on the improved PSO algorithm to optimize parameters of LS-SVM, which is a new improved form by synthesizing the e...