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It is a key issue that constructing a successful knowledge base to satisfy an efficient adaptive scheduling for the complex manufacturing system. So a hybrid backpropagation (BP)-based scheduling knowledge acquisition algorithm is presented in this paper. We combined genetic algorithm (GA) with simulated annealing (SA) to develop a hybrid optimization method, in which GA was introduced to present...
Short-term traffic flow prediction is complex but important to handle urban traffic congestion. To acquire accurate traffic flow information beforehand, a prediction model based on the sufficient fusion of GA with NN is developed in this study. In this paper, the detailed formulation of the genetic structure is given and procedures for coding the NN architecture, the number of hidden nodes, activation...
In order to control the turbojet engine in the whole flight envelope, this paper will establish the self-adaptive PID neural network control on the basis of the combination of the identification network of the RBF neural network and the controller of the BP neural network. RBF neural network adopts the offline training and the on-line adaptation of weight and bias. To speed the convergence, it will...
Pattern recognition problems specifically for spectral data were developed. As an application, classification of four tea varieties based on near infrared spectra was taken by using the method. Factor analysis (FA) and artificial neural networks (ANN) were used for pattern recognition in this research. FA is a very effective data mining way; it was applied to enhance species features and reduce data...
An improved method was proposed in order to accelerate the convergence speed and reduce the training time of back propagation (BP) neural network. The principal component analysis (PCA) was used as the pre-processing to select principal components from the input variables. The regression and correlation analysis were used as the post-processing to analyze the result and test the precision of training...
Establishing a case retrieval algorithm is the key step of the high-rise structure intelligent form optimization (IFO) based on case based reasoning (CBR). First, analyzes the defects of the traditional case retrieval method (CRM) based on typical distance and the characteristics of architecture structure case retrieval, an improved BP-based intelligent CRM was established and the topological structure...
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