For the aircraft, engine is its core component. Once fails, flight safety will be seriously affected; therefore, it necessary to diagnose failure in time. This paper briefly introduced three aircraft fault diagnosis algorithms based on support vector machine (SVM), random forest, and particle swarm optimization-back-propagation (PSO-BP) carried out a simulation experiment performance of MATLAB ...

An improved particle swarm optimization (PSO) algorithm is proposed to solve a typical batching problem in a batch processing plant of the process industry. The batching problem (BP) is to transform the primary requirements for products into sets of batches for each task with the objective of minimizing the total workload. On the basis of some preliminary properties, a novel particle solution r...

A new BP neural network is proposed in this paper, the weights and thresholds of the network are optimized by an improved PSO algorithm instead of gradient descent method. The strategy of the algorithm is that at each iteration loop, on every dimension of particle swarm, choose the particle whose acceleration is biggest and the velocity is small enough to mutate its velocity according to some p...

Selecting a relevant and discriminative combination of genes for cancer classification and building high-performing classifier are common and critical tasks in cancer classification problems. In this paper, a new approach is proposed to address the two issues at the same time. In details, BP neural network is employed to construct a classifier, and PSO algorithm is used to select a discriminati...

The prediction model of software quality is the key technology in the software quality evaluation system, which can be used to evaluate software quality characteristics that users care about. Prediction models are often used to find the nonlinear relationship between metric data and quality factors. The paper predicted the relationship between metric data and quality factors with historical dat...

The effectiveness and efficiency of enterprise knowledge management depends on the enterprise's implementation management. Big data technology can collect, analyse apply massive amount in an organisation to support Therefore, exploring role big-data development innovation will help enterprises better implement Based this, study aims propose a model for predicting big high-tech China. firstly us...

A hybrid neural network algorithm, aims at evaluating water quality, based on particle swarm optimization (PSO) algorithm, which has a keen ability in global search and back propagation (BP) algorithm that has a strong ability in local search. Heuristics has been proposed to optimize the number of neurons in the hidden layer. The comparison with the traditional BP NN shows the advantage of the ...