of building a computer system that realistically models human thinking. The ethics of realizing such a dream are widely debated. Many believe it would be an extremely dangerous thing to accomplish, but that hasn’t stopped many from trying. The two main systems that have been developed so far that come closest to accomplishing this goal are neural networks and fuzzy logic control systems. This paper will only concern itself with the latter. Fuzzy logic control systems are designed to mimic
Classification as an essential data mining technique used to develop models describing different soil classes. Such analysis can present us with a complete understanding of various soil databases at large. In our study, we proposed a novel Neuro-fuzzy classification based technique and applied it to large soil databases to find out significant relationships. We used our technique to three benchmark data sets from the UCI machine learning repository for soil categorization and they were namely Statlog
of which five are universal and the sixth one is used specifically for different applications. Prediction of RMR by the use of fuzzy logic makes it easier to predict the rating of rock more or less the same as calculated from experimental data. It becomes of great importance at the moment when we don’t have the rating tables of the six parameters, then by the use of fuzzy membership functions, we can approximately predict the RMR of the rock. Introduction While working on fields, it is impossible
Neural Networks, Special issue on Data Mining and Knowledge Representation (2000). [17] Mutanen,Teemu. Customer churn analysis- a case study, Research Report VTTR0118406, March 15, 2006. [18] De Oliveira, J.V., Pedrycz W. (editors) (2007) Advances in Fuzzy Clustering and its Applications, John Wiley & Sons Ltd. [19] J. Hadden, A. Tiwari, R. Roy, and D. Ruta. Churn Prediction using Complaints Data. International Journal of Intelligent Technology, 13:158{163, May 2006. [20] H. Van Khuu, H.-KieLee, and
world. Detection and analysis of the disease is a significant part of data mining research. Classification as an essential data mining procedure also helps in clinical diagnosis and analysis of this disease. In our study, we proposed a novel Neuro-fuzzy classification based method. We applied our method to three benchmark data sets from the UCI machine learning repository for detection of breast cancer; they were namely Wisconsin Breast Cancer (WBC), Wisconsin Diagnostic Breast Cancer (WDBC), and
Artificial intelligence is general name of computer system studies which aim to fulfill the role needing high mental operations like learning from experiences, to reason, to interpret, to generalize. All these abilities belong to only people who are assumed the most intelligence creature in the universe. Also the movements and the behaviors of animals are considered a reference. Therewithal some scientists defined the artificial intelligence as a system, which can understand the structure of human thinking
non-standard algorithms might lead to wrong estimation of drought intensity. More effective methods for increase accuracy of assessment and analysis of remotely sensed data are applying models which can combine in data layers. Geographic Information Systems (GIS) are used to combine the layers of data in the modeling of drought. Recently, space technologies, such RS and GIS, and the numerical modeling techniques have been developed as powerful tools for the ecological assessment of environment (Krivtsov
After taking the extremely difficult decision to discontinue my studies of Computer Science at Imperial College London, returning to the academic world to study Computing has been my greatest desire and challenge. My guiding principle has been my passion to keep learning about and using Computers and Mathematics. Having a profound interest in discrete mathematics, I have always wanted to work on logic and that is the major reason for me to choose Computing. During my A-levels, I learned Visual Basic
Hollow Words in Winesburg, Ohio Sherwood Anderson, in his masterpiece Winesburg, Ohio was writing against the notion that stories have to have a plot which reveals a moral idea or conclusion. Like the "tales" that Doctor Parcival tells George Willard in "The Philosopher," Anderson's short stories also seem to "begin nowhere and end nowhere" (51). We as readers must, like George Willard, decide if such stories are little more than "a pack of lies" or if rather, "they contain the
B. Naïve Bayesian Classification In machine learning, Naive Bayesian Classification is a family of a simple probabilistic classifier based on the Bayes theorem (or Bayes’s rule) with Naive (Strong) independence assumption between the features. It is one of the most efficient and effective classification algorithms and represents a supervised learning method as well as a statistical method for classification. Naïve Bayesian classifiers assume that the effect of an attribute value on a given class
Technology has traditionally evolved as the result of human needs. Invention, when prized and rewarded, will invariably rise-up to meet the free market demands of society. It is in this realm that Artificial Intelligence research and the resultant expert systems have been forged. Much of the material that relates to the field of Artificial Intelligence deals with human psychology and the nature of consciousness. Exhaustive debate on consciousness and the possibilities of consciousnessness in machines has
Expert Systems: The Past, Present and Future of Knowledge-based Systems Expert Systems were invented as a way to decrease the reliance by corporations on human "experts" -- people who apply reasoning and experience to make judgements in a specific field, such as medicine, insurance underwriting or the operation of a power-plant. Hence, an expert system should include a database of facts and a way of reasoning about them. In many, but not all, applications it is also helpful to have a way for
Middleton Mutual is a large insurance company that is seeking innovation. The Chief Information Officer, Dennis Devereaux, and Vice President of Information Systems, Max Vargo, are trying to push for a new expert system to ease up the underwriting process of their company. The issue that arises in the company is that certain higher ups aren’t willing to fund this one million dollar project without proof of return. Within the next year, the company will be losing two underwriters. Devereaux has his
Support communications? Why or why not? Advantages and disadvantages are an equal part of Expert Systems and ROI analyses; however, each is based on circumstances based on each unique case. One main shortcoming of the ROI analysis is the strong base on statistical analysis which may fail to recognize certain areas of opportunity not explored. Previously stated, the Expert System was used to interact directly with a broad range of students and exceeded its original purpose by providing more marketing
intelligent system which will be capable of monitoring and controlling road traffic in Nigerian city, all described in this paper. We have taken idea through current traffic control system through which we identified problem at ‘+’ junction and then we implemented our own system to solve the problem. Their approach was based on embedded system based methodology. Our new system, we have designed in such a way that it has pulled out some problems that were there in current traffic control systems. In order
success of all operations. However, it depends on the ability to make sense of the operational environment and to anticipate those factors that influence operations, both negatively and positively. Unfortunately, the structure and behavior of the systems that commonly comprise these factors suggest that making sense of operational environments is a “wicked problem”. A systematic examination of the population, the insurgency, and the counterinsurgent using the eight OE variables is critical to the
Hazard mitigation is an important plan for societies and communities to devise, that can prepare them for various types of hazards. The mitigation process involves actions that can help to reduce or eliminate the risks associated with hazards. The process can have many positives to it, and with a mitigation plan in place, states will be safer and ready for anything. With any plan, hazard mitigation has certain tools involved. The tools are Preventions, Property Protection, Public Education and Awareness
transparencey INTRODUCTION The ancient Greeks knew that reasoning is a structured process governed, at least partially, by a system of explainable rules. Aristotele codified syllogisms; Euclide formulated geometric theorems; Vitruvius defined the criterion and referential key so that every architectural element could be proportioned according to an ideal model, symbolizing the aspirations and aptitudes of that particular civil society. In these forms of reasoning it is possible to distinguish
Our Solar System is vast and mysterious. The solar system contains but is not limited to planets, meteoroids, stars, and comets. Some of the most famous comets are Hale-Bopp, Swift-Tuttle. However, Halley’s Comet is the most famous due to its frequent returns to Earth. A comet is a celestial object consisting of a nucleus of ice and dust and, when near the sun, a “tail” of gas and dust particles pointing away from the sun. Halley’s Comet is most famous for its seventy-five year orbital. Edmund
The integumentary system is an organ system that is often overlooked when compared to other major organ systems. The importance of the integumentary system and its role in thermoregulation and its first line protection for the body is of utmost importance. The integumentary system includes the following organs: skin, hair, nails, and exocrine glands. Skin is a very large organ, and is the most important organ of the integumentary system. The surface area of skin is about 20 square feet, and weighs