An experiment result based on adaptive neuro-fuzzy inference system for stock price

Abstract

Tóm tȃt. Trong nhũ . ng nȃm cuối thi . tru .ò. ng tài chính thế gió . i dã thay dô ' i nhò . su .. phát triê ' n nhiề u hê . thống tiên tiến. Nhȃm khai thác dũ . liê . u thò . i gian thu .. c dã phát triê ' n nhũ . ng lĩnh vu . . c mó . i nhu . các hê . mò . no . ron dành cho bài toán du .. báo và nhu . vâ . y làm sống la . i quan tâm tó . i du .. báo các chı ' số tài chính và chú . ng khoán. Bài báo này gió . i thiê . u mô . t thu .' nghiê . m dùng hê . suy diễn mò . -no . ron vó . i mô . t quy trình tính toán mó . i dê ' du .. báo giá chú . ng khoán.Abstract. In the last years, the financial markets around the world have been modified by the rapid development of advance systems. The acquisition of high-frequency data in real times has developed new fields like neuro-fuzzy systems for forcasting problems, renewing also the interest in the forcasting of financial and stock market indexes. In this paper, we present an experiment result based on Adaptive Neuro-Fuzzy Inference System with a new computing procedure for stock price prediction.

Compositional Rule of Chain Inference in Computational Intelligence Problems

“…In this paper, we present some classes of implication operators of picture fuzzy logic and a compositional rule of chai inference in a picture fuzzy logic setting. Some applications of the inference procedures were given in [14][15][16] and some new applications of the new fuzzy theory could be found in [12,13]. We present firstly the compositional rule of chain inference, giving a class of intelligent inference schema for complex computational intelligence problems.…”