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To solve problems appear in image processing with artificial neural network hardware, such as complex input of image data, difficulty in extracting image eigenvectors, knowledge management in chaos etc., a system for image recognition and knowledge management based on the KN1A artificial neural network module was designed and developed. In this system, images can be input and pretreated easily, and...
The mathematical model of population growth is based on logistic equation and BP neural network. The total population is predicted for the next 30 years through the use of Logistic modeling and generalization data. The dynamics of population growth is studied in non-linear dynamic, which pointed out that the problem is the issue of chaos. It is difficult to accurately forecast long-term population...
Artificial neural network and nonlinear optimal predictive control is combined. Artificial neural network based on nonlinear predictive optimal control scheme is described and the technique is applied in variable air volume system. A predictive model of room temperature is identified with a feed-forward ANN. The temperature of air conditioning room is controlled aimed at minimum temperature deviation...
A back propagation algorithm is a supervised learning algorithm applied to train a neural network off line. This paper introduces a modified learning algorithm. The training algorithm, which is composed of a temporal difference (TD) method and a dynamic BP algorithm (DBP), can train an Elman network online. A gradient descent momentum and adaptive learning rate algorithm is applied to the TD-DBP algorithm...
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