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It is very hard to acquire the information what you really want with the accumulation of large amount of data. Data mining technology has been achieved a great progress with the rapid development of computer science, artificial intelligence, and warehouse. City planning is a job with strong subjective which promotes the development of digital city planning. This makes an increasing demand of data...
Intrusion Detection Systems (IDS) are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively in effective. Recently applying Artificial Intelligence, machine learning and data mining techniques to IDS are increasing. Artificial Intelligence plays a driving role in security services. An intrusion detection method based...
In the field of Computer Science, neural networks are being implemented to solve problems more reliably and accurately. To serve artificial intelligence, computer program using neural can be one of the effective solution. So a program can be learned, trained up and after a certain stage it will able to take applicable decisions. This makes our works performing in reachable and well accepted dynamically...
Due to negative effects of underwater imaging environment and the real-time need of underwater task, a new underwater target recognition system is proposed. New combined invariant moments of underwater images are extracted as the system's recognition features, and the system's underwater target classifier is based on neural network which improved by Artificial Fish Swarm Algorithm (AFSA). AFSA is...
Toll system is improving at the same time of expressway greatly developing . Intelligent toll system attracts more and more attentions and gets very wide application. With the development of computer, communication and network technology, toll system also has intelligent and network management. Toll system collects unremittingly a lot of toll flow date and other traffic information.We can predict...
PID controllers are widely used in the military field. But the conventional PID controller is difficult to be used for the nonlinear and imprecise mathematical model system, since its parameters can only be obtained from the system with accurate mathematical model. In this paper, the intelligent self-tuning PID controller based on neural network is designed for the system which is nonlinear and does...
The fault diagnosis of a marine's main engine is a significant but complicated problem, and artificial intelligence has been considered in this field for decades. This paper describes a fault diagnosis method for main engine based on BP neural network with the system fault classified into hierarchies according to fault tree analysis. Sample data of supercharger's fault is collected and used to train...
Predicting the outcome of a graft transplant with high level of accuracy is a challenging task. To answer the challenge, data mining can play a significant role. The goal of this study is to compare the performances and features of an artificially intelligent (AI)-based data mining technique namely artificial neural network with logistic regression as a standard statistical data mining method to predict...
FECG (Fetal ECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during pregnancy and labour. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies is becoming a very important requirement in fetal monitoring. The purpose of this paper is to model the developed...
A DSP process-based equipment to diagnose the power quality of a single-phase power system is developed. The artificial-intelligent equipment diagnoses the transient, the voltage sag, the voltage swell and the THD among the power quality index of a power system. The 256 data sampled in a period of the single-phase voltage of the power system are used for the real-time calculation of RMS value, Fast...
A kind of adaptive PID control algorithm is analyzed, and the drawbacks of the existing algorithms are commented. As an improvement, a neural network intelligent control algorithm based on one-step prediction is developed. Result show that the new control method is more adaptable to the control of time-varying and nonlinear control systems.
Traditionally, loudspeaker's quality control has been done manually and inspection of loudspeaker faults is time consuming and causes error in the quality evaluation. In order to reduce the time consumption and errors in the quality evaluation, in this research work, a simple loudspeaker diagnosing system is developed based on the harmonic distortion. The faulty and normal loudspeakers are tested...
Committee machines approach has shown to be useful in different applications. Protein primary structure data contain valuable information to extract. In this paper we mine these data and predict protein contact map based on committee machines. Contact map is the simplified, two dimensional representation of protein spatial structure. Contact map prediction is of great interest due to its application...
Artificial intelligence (AI) techniques have played increasingly important role in antivirus detection. At present, some principal artificial intelligence techniques applied in antivirus detection are proposed, including heuristic technique, data mining, agent technique, artificial immune, and artificial neural network. It believes that it will improve the performance of antivirus detection systems,...
Although the decision support systems (DSS) theory and application has already taken significant progress, the development of DSS is strongly challenged for the bottleneck of existing serial characters store and process mechanism. The neural network is an ultra large-scale, time dynamic system with highly nonlinear. Its most important features are paralleled distributive treatment with large scale,...
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