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The age of knowledge-based economy is a full new information age when economic resource is based on knowledge, establishing the innovative education thoughts and innovative talent training mode adapted to the age will be an important topic for higher education to face and resolve. Based on the background of knowledge-based economy and information society, and combining with the features and current...
Electricity demand forecasting is an important index to make power development plan and dispatch the loading of generating units in order to meet system demand. In order to improve the accuracy of the forecasting, we apply the feedforward neural network for electricity demand forecasting. Inspired by the idea of artificial fish swarm algorithm, in this paper we proposed one hybrid evolutionary algorithm...
In the last decade, the use of artificial neural networks (ANN) has become widely accepted in medical applications for accuracy for predictive inference, with potential to support and flexible non-linear modelling of large data sets. Feedforward neural network (FNN) is a kind of artificial neural networks, which has a better structure and been widely used. But there are still many drawbacks if we...
In recent years, the multilayer feedforward neural network (FNN) has been received considerable attention and have been extensively used in many fields. Levenberg-Marquardt back-propagation (LMBP) algorithm as an FNN training method has some limitations associated with overfitting, local optimum problems and slow convergence rate. In order to overcome the limitations, some people proposed particle...
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