Correlation Based ADALINE Neural Network for Commodity Trading
نویسندگان
چکیده
منابع مشابه
Correlation Based ADALINE Neural Network for Commodity Trading
Commodity trading is one of the most popular resources owning to its eminent predictable return on investment to earn money through trading. The trading includes all kinds of commodities like agricultural goods such as wheat, coffee, cocoa etc., and hard products like gold, rubber, crude oils etc.,. The investment decision can be made very easily with the help of the proposed model. The propose...
متن کاملAn agent-based commodity trading simulation
In recent years, the study of trading in electronic markets has received significant amount of attention, particularly in the areas of artificial intelligence and electronic commerce. With increasingly sophisticated technologies being applied in analyzing information and making decisions, fully autonomous software agents are expected to take up significant roles in many important fields. This t...
متن کاملPower Quality Disturbance Classification Using Adaptive Linear Neural Network (ADALINE) and Feed Forward Neural Network (FFNN)
Abstract: This paper presents a dual neural network based technique for detecting and classifying the power quality disturbances. In the proposed method, Adaptive Linear Neural Network is used to extract the rms voltage for harmonics and Interharmonics estimations. With the help of these indices, PQ disturbances such as Sag, Swell, Outages are detected and classified, Harmonics and Interharmoni...
متن کاملInter-Commodity Spread Trading Using Neural Network and Genetic Programming Techniques
We employ the methods of neural network (hereafter NN) and genetic programming (hereafter GP) in this paper to construct a spread trading system, respectively, to forecast the trend of the price spread between Taiwan Stock Exchange Electronic Index Futures (hereafter TE) and Taiwan Stock Exchange Finance Sector Index Futures (hereafter TF). To forecast the trend of the spread, we use a variety ...
متن کاملACO-Based Neighborhoods for Fixed-charge Capacitated Multi-commodity Network Design Problem
The fixed-charge Capacitated Multi-commodity Network Design (CMND) is a well-known problem of both practical and theoretical significance. Network design models represent a wide variety of planning and operation management issues in transportation telecommunication, logistics, production and distribution. In this paper, Ant Colony Optimization (ACO) based neighborhoods are proposed for CMND pro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computer Science
سال: 2015
ISSN: 1549-3636
DOI: 10.3844/jcssp.2015.863.871