Stock prediction, trading simulation and options volatility prediction using FASCOM++ (fuzzy associative cortical maps architecture)
Fuzzy Associative Cortical Maps Architecture (FASCOM) is inspired from the cortical maps found in many biological and artificial neural systems. The cortical maps organise and represent information obtained from sensory inputs and play important roles in learning and memory processes. FASCOM uses fe...
Saved in:
Main Author: | Malik, Arpit. |
---|---|
Other Authors: | Quek Hiok Chai |
Format: | Final Year Project |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/52058 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
FASCOM-stock : using a fuzzy associative conjunctive map in option trading
by: Chua, Wei Kar.
Published: (2013) -
Options volatility modelling and trading system incorporating EFSM
by: Chan, Andy Jia Wei.
Published: (2012) -
Stock trading prediction using deep learning neural networks
by: Ong, Hao Cong
Published: (2021) -
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)