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دانلود رایکان مقاله انگلیسی ISI با موضوع مطالعه سیستم های شبکه عصبی خفاشی در پیش بینی قیمت سهام

عنوان فارسی مقاله:

مطالعه سیستم های شبکه عصبی خفاشی در پیش بینی قیمت سهام: مطالعه موردی در قیمت سهام DAX

عنوان انگلیسی مقاله:

A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price

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2. Related Works

In recent years many researchers showed their interest in the fieldof combiningmulti-agentbasedsystems anddatamining tasks and algorithm. Ali Albashiri and et al. [10] proposed an extendible multi-agent data miner (EMADS) which is to address data mining requests by interacted agents under decentralized control. Czarnowski and Jedrzejowicz [11] described an agent based distributed learning framework based on data reduction. Yang et al. [12] proposed a multi-agent based data mining system to biological data analysis. Wardeh et al. [13] proposed an approach to multiagent classification in which individual agents argue for a given example to be classified with a particular label according to their local data, implemented in a PISA (pooling information from several agents) multi-agent framework. Ghedini Ralha and Sarmento Silva [14] described a multi-agent data mining system to extracting information from the Brazilian federal procurement process databases to recognize cartel formation among applicants in the process of corruption detection and prevention. Giannella et al. [15] offered a perspective on distributed data mining algorithms in context of multi agent systems. Klusch et al. [16] focused on the potential added value of using agent technology in the domain of knowledge discovery. Gao et al.[17] presented a modelfor cooperative agents for mining knowledge from heterogeneous data (CoLe). Shukla et al. [18] conceptualized a bidding-based multi agent system for solving integrated process-planning and scheduling problems. They proposed an architecture consist of autonomous agents capable communicate with each other which can make decisions based on their knowledge. da Silva et al. [19] proposed a view on distributed data mining in multi-agent framework. They discussed the connection between distributed data mining and multi-agent systems. Zghal et al. [20] presented an agent framework for data mining. They used multi-agent systems to improve the execution time at different levels.