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Artificial intelligence is a new subject which has been applied in many fields. In recent years, many countries have been promoting quality education, and promotion of the culture of all the students and the overall quality of research and solve problems of practical ability, and multifaceted Intelligent students also advocated the development of a variety of intelligence, and that the goal of quality...
A stroke occurs when the blood supply to a person's brain is interrupted or reduced. The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of predictive data mining technologies. In this work, we compare different methods with our approach for stroke prediction...
Emergence of peer-to-peer lending has opened an appealing option for micro-financing and is growing rapidly as an option in the financial industry. However, peer-to-peer lending possesses a high risk of investment failure due to the lack of expertise on the borrowers' creditworthiness. In addition, information asymmetry, the unsecured nature of loans as well as lack of rigid rules and regulations...
Creativity is a delicate subject when it comes to the understanding of how/when and why it occurs. In the last two decades considerable contributions incorporating creative mechanisms in computer applications were made. Recently, the discussion is turning towards the problems that are under the process of evaluating computer created visual objects, mainly in the area related to the automating aesthetic...
Due to the rise and rapid growth of E-Commerce, use of credit cards for online purchases has dramatically increased and it caused an explosion in the credit card fraud. As credit card becomes the most popular mode of payment for both online as well as regular purchase, cases of fraud associated with it are also rising. In real life, fraudulent transactions are scattered with genuine transactions and...
Stating from the complement between rough sets and decision tree classification algorithm, it proposes a new method of data mining based on rough sets and decision tree classification algorithm, and applies it in the estimating of bank credit risk with the help of a RSES (Rough Set Exploration System) software system for data mining. Experiments have proved that this new method of date mining retains...
With the rapid development of online shopping, on-line one-to-one marketing becomes a great assistance to e-shoppers. One of the most important marketing resources is the prior daily transaction records in the database. In this study, the paper propose a new methodology for predict e-shoppers' purchase behavior that uses e-shoppers' purchase sequences. First, transaction clustering is conducted, then...
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...
The inhabited environments are MIMO, uncertainly, and nonlinear complex systems. This paper presents a novel intelligent fuzzy agent(IFA) based on input-output associational algorithm for intelligent inhabited environments. An input-output dynamic associational algorithm based on Hebb learning is proposed, which can divide a complex system into multiple simple systems and eliminate the irrelevant...
Presently, most maintenance decisions are mainly based on failure event. Nevertheless, in many cases and for many types of equipment this event can rarely be seen or can happen after many years of utilization. In these cases, maintenance decisions are based on fault diagnostics. This paper presents an artificial intelligent approach to fault detection and diagnosis. This approach is called Logical...
The amount of time teachers spend grading essays has increased over the past decade, prompting the development of systems that are able to lighten the workload. Many systems have thus far used linear regression or semi-supervised methods towards this objective. This paper discusses some of the main Automated Essay Grading systems, highlighting some of their strengths and weaknesses, in addition to...
Decision making is an important task for enterprise managers, and is typically based on various data sources derived from information systems, such as enterprise resource planning, supply chain management and customer relationship management. Numerous business intelligence tools (BI) thus have been developed to support decision making. Some existing BI tools have several limitations, for example lacking...
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...
The decision support systems that have been developed to assist physicians in the diagnostic process often are based on static data which may be out of date. We present a comprehensive analysis of artificial intelligent methods which could be applied to documents encoded by SNOMED CT. By mining information directly from SNOMED CT encoded documents, a decision support system could contain timely updated...
Social bookmarking tools are rapidly emerging on the Web. A conceptual structure called folksonomy plays an important role in such systems. The folksonomy is constitute of tagging data(users, tags, resources) which organizing and classifying information on the Web. Tagging data stored in the folksonomy includes a lot of very useful information and knowledge. Unlike ontologies, shared conceptualizations...
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...
The following topics are dealt with: artificial neural networks; biodegradability prediction; cellular automata; evolutionary algorithms; swarm intelligence; emergent systems; artificial life; Lindenmayer systems; digital organisms; artificial immune systems; membrane computing; simulated annealing; communication networks and protocols; computing with words; common sense computing; cognitive modeling...
The study on the bearing capacity and settlement is important to a project. It is useful and concrete to develop a model with some intelligent methods in artificial intelligence area for the prediction of some big structure projects. The validity of the models has been proved by some civil engineering practices. Therefore, the research of bearing capacity and settlement characteristics of rigid pile...
In this article, swarm intelligence approach is proposed for the solution of problems involved in differential equations of first order. The modeling of these problems is performed by artificial neural network that have universal approximation capabilities. A new particle swarm optimization algorithm is used to optimize the adaptive weights of neural network. The proposed method is successfully applied...
We constructed an individual identification system with three-layered neural networks. Voice signals were preprocessed by Fast Fourier Transform (FFT) and, were used as input data of the neural networks with a back-propagation learning algorithm. Furthermore, we investigated the performance of the individual identification system in the neural networks. From the results, we found that the performances...
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