An in depth analysis of neural network with application in finance

An in depth analysis of neural network with application in finance

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Библиографические подробности
Главные авторы:	Tasnim, Noshin, Yasmeen, Farhana
Другие авторы:	Majumdar, Mahbub Alam
Формат:	Диссертация
Язык:	English
Опубликовано:	BRAC University 2019
Предметы:	Neural network Stock market Prediction Deep layer Hidden layer Neural network.
Online-ссылка:	http://hdl.handle.net/10361/12281

Схожие документы

Recurrent neural network classiﬁer for three layer conceptual network and performance evaluation
по: Md. Khalilur, Rhaman, и др.
Опубликовано: (2016)

Connected hidden neurons (CHNNet): an artificial neural network for rapid convergence
по: Shahir, Rafiad Sadat, и др.
Опубликовано: (2024)

Boundary layer theory.
по: Schlichting, Hermann, 1907-
Опубликовано: (2001)

Analysis of uncertainty in different neural network structures using monte carlo dropout
по: Islam, Md. Farhadul, и др.
Опубликовано: (2024)

Pneumonia Disease detection using the convolutional neural network
по: Ashrafee, Md. Iftid, и др.
Опубликовано: (2024)

Visual object recognition using deep convolutional neural network
по: Ahmed, Sabbir
Опубликовано: (2017)

Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
по: Shafique, Nadia, и др.
Опубликовано: (2023)

Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
по: Al Mamun, Rafsan, и др.
Опубликовано: (2022)

A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
по: Raj, Mohammad Mainuddin, и др.
Опубликовано: (2021)

An introduction to neural networks /
по: Anderson, James A.
Опубликовано: (1995)

Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
по: Islam, Md. Farhadul, и др.
Опубликовано: (2024)

Segmentation based Kidney Tumor Classification using Deep Neural Network
по: Mehedi, Md Humaion Kabir, и др.
Опубликовано: (2022)

Classification of different magnetic structures from image data using deep neural networks
по: Ibn Hasib, Fahad, и др.
Опубликовано: (2023)

Multi-layer security analysis and implementation of smartphone based ATM
по: Farid, Imran, и др.
Опубликовано: (2017)

Epileptic seizure prediction using bandpass filtering and convolutional neural network
по: Rahman, Tasnia, и др.
Опубликовано: (2022)

A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
по: Faisal, Asm, и др.
Опубликовано: (2024)

Detection of handwritten text using convolutional neural network
по: Jasim, Rabib Bin, и др.
Опубликовано: (2024)

Semantic text extraction from CAPTCHA using Neural Networking
по: Chowdhury, Iftekhar Kabir, и др.
Опубликовано: (2022)

Forecasting stock market prices using advanced tools of machine learning
по: Anwar, Md. Tawhid, и др.
Опубликовано: (2019)

HPTLC, high performance thin-layer chromatography : Quantitative analysis of pharmaceutical formulations /
по: Sethi, P.D
Опубликовано: (1996)

Fundamentals of neural networks : architectures, algorithms, and applications /
по: Fausett, Laurene V.
Опубликовано: (1994)

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
по: Mahtab, Motahar, и др.
Опубликовано: (2022)

Modelling option prices using neural networks
по: Nasim, Ahmed Zohair, и др.
Опубликовано: (2020)

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
по: Siddique, Labib Ahmed, и др.
Опубликовано: (2022)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
по: Ali, Syed Muaz
Опубликовано: (2023)

Efficient image processing and machine learning approach for predicting retinal diseases
по: Hasib, Mehadi Hasan, и др.
Опубликовано: (2021)

Neural networks : a comprehensive foundation /
по: Haykin, Simon S., 1931-
Опубликовано: (1999)

Effect of Fluctuating surface heat and mass flux on natural convection flow along a vertical flat plate
по: Hussain, Sharmina, и др.
Опубликовано: (2016)

Analysis of malware prediction based on infection rate using machine learning techniques
по: Zawad, Safir, и др.
Опубликовано: (2020)

Visual speech recognition using artificial neural networking
по: Sharmili, Nowshin, и др.
Опубликовано: (2018)

Plant disease detection using convolutional neural network
по: Hossain, Mohammad Shifat, и др.
Опубликовано: (2021)

A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
по: Gomes, Paul Richie, и др.
Опубликовано: (2021)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
по: Ashraf, S.M. Nabil, и др.
Опубликовано: (2021)

Tomato leaf disease detection using convolutional neural network
по: Hasan, Md. Riazul, и др.
Опубликовано: (2023)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
по: Khilji, Ishfaque Qamar, и др.
Опубликовано: (2021)

KDANet: optical recognition for Bangla language using deep neural networks
по: Rabbi, Kazi Kamruzzaman, и др.
Опубликовано: (2023)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
по: Shahriar, Hasan, и др.
Опубликовано: (2022)

Audio recognition using feed forward neural network optimized by principle component analysis
по: Momo, Nusrat Suzana, и др.
Опубликовано: (2017)

Fundamentals of artificial neural networks /
по: Hassoun, Mohamad H.
Опубликовано: (1995)

Brain tumor detection with convolutional neural network
по: Galib, Abrar Tahmid, и др.
Опубликовано: (2024)