Titlebook: Intelligent Computing, Networked Control, and Their Engineering Applications; International Confer Dong Yue,Chen Peng,Qinglong Han Conferen

Delectable

An Improved Dual Grey Wolf Optimization Algorithm for Unit Commitment Problem binary grey wolf optimization (bGWO), and the exchange velocity was modified by adding two dynamical factors in random number producing. The GWO was used in units’ load scheduling during the process of deciding up-down states and after the solution. One examples with 10 units including 24 period of

foppish

Merited

Stability Determination Method of Flame Combustion Based on Improved BP Model with Hierarchical Rateivided into training samples and test samples for training and testing the established model. Experience has shown that the improved model not only has better fault-tolerance and mapping ability but also improves recognition rates and computing speed, which can meet the real-time requirement of stability determination.

防水

有恶意

Temperature and Humidity Compensation for MOS Gas Sensor Based on Random Forestsonal methods, such as RBF neural network and BP neural network. Results show that the proposed methodology provides a better solution to temperature and humidity drift. The accuracy of the environmental gas sensor array improves about 1%.

ADAGE

A Robust Fuzzy c-Means Clustering Algorithm for Incomplete Datase an efficient solution method based on smoothing and gradient projection techniques. Experiments on UCI data sets validate the effectiveness of the proposed RFCM algorithm by comparison with existing clustering methods for incomplete data.

打折

Mechanics

A Genetic Neural Network Approach for Production Prediction of Trailing Suction Dredgeredger production prediction. The simulation results show that the genetic BP neural network has a better fitting ability. Compared with the BP neural network, it has the characteristics of good global search ability and high accuracy. The result shows that genetic BP neural network can accurately predict the production.