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Singular points detection, a crucial step for fingerprint identification system, is accurately robust, and reliable. In the processing of the fingerprint image matching and classification, many method use singular points to align two fingerprint images to surmount the problems about rotation and translation. The performances of the fingerprint recognition system rely on the effect of singular points...
A intelligent monitor and control system on multi-factor of aquaculture environment based on wireless sensor networks is designed adopting BP neural networks. The system uses wireless sensor nodes to detect a variety of water quality parameters transmitted to the on-site monitoring host computer through sink node wirelessly. The control module consists of fuzzy controller and decoupling neural network...
In order to design the products that meet consumer emotional demands, this paper proposes a systematic method which combines neural network with genetic algorithm. Firstly, a back propagation neural network is applied to map the relationships between product design elements and customer kansei image evaluation. Secondly, generic algorithm is employed to search for the optimal product form which satisfies...
Prediction of regional logistics requirement provides a basis for the plan of regional logistics. In the study, support vector regression is presented to predict regional logistics requirement. The regional logistics data from 1996 to 2006 in Shanghai municipality are used as the application data of support vector regression. The comparison of prediction error between BP neural network and support...
The accurate diagnosis of rice pest insects and diseases is very important for high yielding and high quality cultivation of rice. Because the characteristics of rice pest insects and diseases are miscellaneous, and its occurred environment is complex, it is difficult to diagnose accurately using artificial intelligence system. In this study, BP neural network technology is applied to a rice pest...
It is widely believed that human resource competitiveness is becoming the core competitiveness of an enterprise. Nowadays, IT (Information Technology) is widely used in human resource management. This paper extracted four factors-cost factor, turnover factor, human resource planning factor and employee development factor from 30 indexes of the enterprise human resource competitiveness by using PCA...
As a substitute for conventional diesel, biodiesel has received considerable attention in many countries. To investigate the emissions of an engine by experiment is time-consuming and costly, so a lot of mathematical models are used to predict the emissions of engines. A back propagation (BP) neural network was used to establish an emission model of the diesel engine fueled with biodiesel The results...
Decision-making structures are important building blocks in most of the software; however, it may be difficult to verify them because there are various input conditions and several paths causing them to behave differently. Test oracles are reliable sources of how the software must operate. The aim of the present paper is to study the applications of Artificial Neural Networks as an automated oracle...
Ammonium dihydrogen phosphate(DAP) is widely used in the industry. Usually this product contains impurities and substances and may not satisfy the need of modern agricultural and industrial demand, so we must dip and recrystalize for high quality product. In the process of crystallization, the nucleation rate and the growth rate are the most important parameter, then we study these parameter in order...
In this paper, a new method of coal rock interface recognition(CRIR) based on independent component analysis and BP neural network is presented. ICA algorithm was used to separate the preprocessed acoustic signal and extract independent components of coal and rock. By analyzing power spectrum of the first two independent components, we found the difference of coal and rock in specific frequency interval...
Although simple genetic algorithm (SGA) can, to some extent, improve the back propagation neural network (BP), it is prone to prematurity and losing the optimal solutions. Niche technology and fuzzy control theory are introduced to improve SGA and the improved one is used to optimize BP. The improved genetic algorithm is used to optimize BP neural network. In addition, due to the increasingly voltage...
In order to solve the problem of BP neural network, genetic support vector regression is presented to predict the lifetime of cylinder. Support vector regression (SVR) is a novel prediction algorithm based on structure risk minimization principles, which can lead to great generalization ability. In the genetic support vector regression model, the genetic algorithm is used to optimize the parameters...
When exploring identification of coal and waste rock, 17 characteristic parameters of gray-scale histogram and gray level co-occurrence matrix (GLCM) were chosen according to their differences in gray scale and texture. Then, the principal component analysis (PCA) algorithm was used to get principal components from all the parameters chosen above. The principal components were defined as the inputs...
The conventional matrix inversion method for weighted geometric dilution of precision (WGDOP) calculation has a large amount of operation. This paper employs an artificial neural network approach, namely, the resilient back-propagation (Rprop) method to implement WGDOP. We also present two novel architectures to implement the Rprop-based WGDOP. Simulation results show that the proposed architectures...
Component proportion sometimes is necessary in order to evaluate the state of research objects quantitatively or to do some specific studies. Back propagation neural network (BPNN) is one of mostly used neural networks because of its ability to achieve a high precision simulation for data problem or target function which is hardly to be established by conventional mathematical theory. In this paper,...
In order to overcome the shortcomings of BP neural network, the golden section theory was used to get the reasonable number of Back Propagation (BP) neural network's hidden nodes. By using Genetic Algorithm (GA) to optimize the initial weights and threshold value of BP neural network, the network converged quickly and the recognition precision was increased. The GA-BP neural network model was utilized...
Slope stability is always a very complex issue in engineering. Base on the theoretical analysis of BP neural network and support vector machine (SVM), some major factors which influence the slope stability are selected in soil slope and the slope samples are trained and identified. The identification rates of BP neural network and SVM both achieved 100%. In identification precision and elapsed time,...
Two different Approaches are used to Optimize Lemon Grass Oil Production. Oil Production is compared and Production-Nutrient ratio comparison also shows that Logistic function is giving best result for production-nutrient ratio. So logistic Function proved to be better for optimizing results in our case.
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