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India has 1.4 million square-kilometers of land under cultivation and only about 39 percent is irrigated and other 61 percent is fully dependent on rain and if rain fails or gets delayed, crops fail driving debt ridden farmers to suicide. Agricultural output of India is the second largest in the world and India is second largest producer of cotton and one of the largest exporters of cotton in the...
Sentiment analysis is an important task in natural language processing and computational linguistics. Automatic sentiment analysis has been widely applied to opinion reviews and social media for a variety of applications, such as marketing and customer services. The dimensional approach can provide more fine-grained sentiment analysis in which each vocabulary is assigned two continuous numerical values...
As telecommunication networks grow in size and complexity, monitoring systems need to scale up accordingly. Alarm data generated in a large network are often highly correlated. These correlations can be explored to simplify the process of network fault management, by reducing the number of alarms presented to the network-monitoring operator. This makes it easier to react to network failures. But in...
This paper solves the task of complex objects approximation with a discrete output based on information approach to modeling. We propose a model of fuzzy rules and the inference algorithm on the rules, and describe the neuro-fuzzy model for generation of a knowledge base. The approximation of known data sets and comparison of the results with those of other authors is performed. Examples of knowledge...
Document classification is critical to optimize information retrieval tasks, especially over the web. In this environment, the open domain nature and growing volume of available data remain a challenge for the classification task. In this paper, we deal with these problems by only using knowledge resources. Our approach relies on concepts instances derived from the document and an open domain knowledge...
Ever since its first development, Fuzzy Logic Controllers (FLC) have been popular among the practitioners due to its robustness, interpretability, and especially its ability to handle imprecision. Many constructions of these controllers are still heavily dependent on the presence of experts' knowledge. This drawback has been investigated by many researchers, resulting in several methods integrated...
Knowledge representation is a strategy which represents the human knowledge as the data structure and the system control structure that can be processed by computer. As a knowledge representation method, domain ontology can represent the specific knowledge of a specific area. In the design of skill knowledge base, it will involve a lot of corresponding events to skills, and the knowledge contained...
Modern military forces rely heavily on a variety of complex, high technology, electronic offensive and defensive capabilities. EW is a specialized tool that enhances many air and space functions at multiple levels of conflict. Proper employment of EW enhances the ability of operational commanders to achieve operational superiority over the adversary. Control of the electromagnetic (EM) spectrum has...
There are some shortages of knowledge acquisition and inefficency in ES. So, combines ES with ANN to construst military equipment fault diagosis expert system. Introduces the neural network learning system, the knowledge base and the reasoning mechanism of the expert system. After introducing ANN and ES, utilizing the adapting, self-learning abilities of ANN, methods of knowledge acquirement and representation...
With the rapid development of science and technology, and the improvement of production safety and management standards, the use of expert system to bridge crane operator teaching simulation to train high quality personnel has become a pressing need. But it is hard to evaluate the train result. This paper aims at developing a bridge crane training system based expert system. The system includes some...
With the development of knowledge economy, knowledge has become the most important strategic resource, and knowledge management in supply chain has become increasingly important. Influencing factors on knowledge sharing among partners in supply chain are analyzed and the countermeasures are given in the paper. A logical model of knowledge sharing among partners is built, which mainly includes knowledge...
IT service providers are continuously seeking new tools and methods to improve the performance of customer support and to reduce the support and maintenance costs. Self-service tools, such as knowledge base systems, provide customers and users solutions to their problems 24h/7d. However, many IT service providers do not have experience on how to implement a knowledge base system for service support...
This contribution is focused on the enhancement of the precision for Fuzzy Rule Based Classification Systems by the refinement of the Knowledge Base. Specifically, we make use of a Hierarchical Fuzzy Rule Based Classification System, which consists in the application of a thicker granularity in order to generate the initial Rule Base, and to reinforce those problem subspaces that are specially difficult...
A classifier expected to work in a non-stationary environment has to: (i) detect changes in the process generating the data; (ii) suitably react to the change by adapting to the new working condition. Just-in-time adaptive classifiers, a classification structure addressing stationary and nonstationary conditions, have been presented to the computational intelligence community. Such classifiers require...
Classification is a famous branch of machine learning. We have tried many ways to invent and improve algorithms to get better results from given data. However, few have been done on how to revise data to adapt machine learning. In this paper, the same classifiers are implemented on same object sets which are different in the granularity of classification to show different classification can make great...
In this work our aim is to increase the performance of fuzzy rule based classifications systems in the framework of imbalanced data-sets by means of the application of a genetic tuning step. We focus on the imbalanced data-set problem since it appears in many real application areas and, for this reason, it has become a relevant topic in the area of machine learning. This problem occurs when the number...
Hybrid and adaptative system of gas concentration prediction in hard-coal mines is presented in the paper. The system widens functionality of the SMP-NT system which monitors gas concentration in mining excavations based on data collected from sensors. The SMP-NT system has also ability to automatic cut off electric energy in the case of explosion risk identification. A task of the prediction system...
Project risk assessment is a critical activity adopted in project risk management process to prevent risks and to enhance the success rate of projects. But so far it is a big challenge for project managers and experts to combine their expertise with intelligent technology to evaluate project risks due to insufficient risk related data. Based on this, a novel attempt to integrate analytic hierarchy...
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