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In the modern society, energy consumption such as gas and electricity is closely related to the weather condition because of the large share of weather-sensitive electrical appliances. Investigating how weather influences the energy consumption is of great significance for energy demand forecasting. This paper proposes an optimum regression approach for analyzing weather influence on the energy consumption...
Electrocardiography (ECG) is a widely used noninvasive clinical tool for the diagnosis of cardiovascular disease. However, the accuracy of ECG analysis significantly affect the diagnostic error rate of cardiovascular diseases. Therefore, in recent year, many Neural Network (NN)-based approaches were proposed to automatically analyze the ECG signal. However, these methods suffer from long computing...
Seawater chlorophyll-a (Chla) represents algal biomass in ocean and is a major index of eutrophication. In this paper, bootstrapped artificial neural network (BANN) model is developed for predicting the seawater Chla concentration around the north Pacific Rim. Three-layer ANN structure is applied and the modeling is based on comprehensive five-minute interval datasets of water temperature, depth,...
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 spatial stability is analyzed for the geodesic finite-difference time domain (FDTD) method. The analysis is based on the finite integration technique (FIT) and tensor analysis. After rigorous theoretical analysis, we point out that the present geodesic FDTD method can provide approximate but long-time stable solutions to the extremely low-frequency (ELF) electromagnetic wave propagation problems...
In order to early warn the alga bloom in a reservoir (drinking water source) in northeast China, we carried out a comparative investigation on three statistical machine learning methods to construct suitable one-step weekly Chlorophyll-a (Chla) prediction models: multiple linear regression (MLR), back propagation artificial neural network (BPANN) and support vector regression machine (SVR). Previously,...
Functionality Testing is one of the most popular used technologies of black-box testing strategy. Programs to be test were taken as implicit functions mapping inputs into outs. In the view of functionality testing, if the functional behaviors of the program can be predicated correctly, it could be applied as test oracles for newer test cases generation. The main problems of this issue are discussed...
In the analysis of predicting financial distress based on support vector regression (SVR), irrelevant or correlated features in the samples could spoil the performance of the SVR classifier, leading to decrease of prediction accuracy. In order to solve the problems mentioned above, this paper used rough sets as a preprocessor of SVR to select a subset of input variables and employed the immune clone...
To bridge the widening gap between computation requirements of ubiquitous application and communication efficiency faced by gigascale multi-processor system-on-chip (MP-SoC) devices, a new on-chip communication system, dubbed wireless network-on-chip (WNoC), is proposed by using the recently developed CMOS ultra wideband (UWB) intrachip wireless communication. In this work, we propose a distributed...
Because of the complex nonlinearity of electric power steering system, the actual current of motor canpsilat follow the tracks of the target current well with PID controller. A compound controller of CMAC and PID is proposed for it. This controller realized the feedback control with traditional PID controller to make the electric power steering system stable, and realized the feed forward control...
Test Oracle is one of the most important problems to be tackled for automatic software testing. Unlike manual test, by reviewing results to determine whether or not result is what it should expected to be, automatic methods only depend on specified decision rules. Artificial Intelligence is a prominent solution for such work. In this research, Artificial Neural Network was proposed to direct oracles...
Keyword clustering is useful for text information retrieval, text document classification and so on. This paper introduces an unsupervised method to cluster Chinese keyword by the artificial neural network of SOM (self-organized map). Keywords are encoded into numeric vectors by the similarities of their contextual word sets, which are composed by their neighbor words in the range of phrases. The...
How to treat the customer relationship is a crucial problem in the telecommunications industry. Therefore, how to measure and manage customer lifetime value (CLV) for determining the likely future profit from the customer is very important because the customer is always looking for better and cheaper products and services. The CLV value not only combines with the churn management but also considers...
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