Subscription or Fee Access
Particle Swarm Optimization for Thermal Power Plant Safety Evaluation
Electric power industry is a basic industry of national economy, the power plant production safety related to people's life safety and property of the state, the power of reform and social stability, safety evaluation of power plant is an important guarantee of safety production in thermal power plant.The paper mainly improves the traditional BP neural network algorithm through particle swarm optimization algorithm, i.e. PSO, and establishes the model of BP neural network based on particle swarm optimization. By using PSO algorithm to optimize the BP neural network’s connection weight values and threshold values, it can give full play to the global optimization ability of the PSO and BP algorithm local search advantage as well as overcome the randomness problem of BP neural network weight values.Now the instance verification results show that the BP neural network based upon PSO applied into safety evaluation of thermal power plant, can achieve the purpose of accurate to evaluate the security situation of thermal power plants. The model has two advantages: the first is the convergence speed is very fast in the operation process and the second is the computation results have a higher precision.
Thermal power plants, Particle Swarm Optimization (PSO), BP neural network, Optimization, Safety evaluation.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.