FASCOM-stock : using a fuzzy associative conjunctive map in option trading
Cortical maps are found in many biological and artificial neural systems. These maps organize and represent the information obtain from sensory inputs and play important roles in learning and memory process. In this project, the structure of a novel fuzzy neural network architecture FASCOM, short fo...
Main Author: | Chua, Wei Kar. |
---|---|
Other Authors: | Quek Hiok Chai |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/55025 |
Similar Items
-
Stock prediction, trading simulation and options volatility prediction using FASCOM++ (fuzzy associative cortical maps architecture)
by: Malik, Arpit.
Published: (2013) -
Stock trading using fuzzy neural networks
by: He, Guangxu
Published: (2016) -
Type 2 fuzzy neural network for strangle-based option trading
by: Seah, Kevin Zhixiang.
Published: (2013) -
Stock trading system using fuzzy candlesticks and reinforcement learning
by: Lee, Wen Chong
Published: (2018) -
Intelligent option trading
by: Manan Maheshwari.
Published: (2012)