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.

Xehetasun bibliografikoak
Egile Nagusiak:	Tasnim, Noshin, Yasmeen, Farhana
Beste egile batzuk:	Majumdar, Mahbub Alam
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2019
Gaiak:	Neural network Stock market Prediction Deep layer Hidden layer Neural network.
Sarrera elektronikoa:	http://hdl.handle.net/10361/12281

Antzeko izenburuak

Recurrent neural network classiﬁer for three layer conceptual network and performance evaluation
nork: Md. Khalilur, Rhaman, et al.
Argitaratua: (2016)

Connected hidden neurons (CHNNet): an artificial neural network for rapid convergence
nork: Shahir, Rafiad Sadat, et al.
Argitaratua: (2024)

Boundary layer theory.
nork: Schlichting, Hermann, 1907-
Argitaratua: (2001)

Analysis of uncertainty in different neural network structures using monte carlo dropout
nork: Islam, Md. Farhadul, et al.
Argitaratua: (2024)

Pneumonia Disease detection using the convolutional neural network
nork: Ashrafee, Md. Iftid, et al.
Argitaratua: (2024)

Visual object recognition using deep convolutional neural network
nork: Ahmed, Sabbir
Argitaratua: (2017)

Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
nork: Shafique, Nadia, et al.
Argitaratua: (2023)

Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
nork: Al Mamun, Rafsan, et al.
Argitaratua: (2022)

A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
nork: Raj, Mohammad Mainuddin, et al.
Argitaratua: (2021)

An introduction to neural networks /
nork: Anderson, James A.
Argitaratua: (1995)

Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
nork: Islam, Md. Farhadul, et al.
Argitaratua: (2024)

Segmentation based Kidney Tumor Classification using Deep Neural Network
nork: Mehedi, Md Humaion Kabir, et al.
Argitaratua: (2022)

Classification of different magnetic structures from image data using deep neural networks
nork: Ibn Hasib, Fahad, et al.
Argitaratua: (2023)

Multi-layer security analysis and implementation of smartphone based ATM
nork: Farid, Imran, et al.
Argitaratua: (2017)

Epileptic seizure prediction using bandpass filtering and convolutional neural network
nork: Rahman, Tasnia, et al.
Argitaratua: (2022)

A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
nork: Faisal, Asm, et al.
Argitaratua: (2024)

Detection of handwritten text using convolutional neural network
nork: Jasim, Rabib Bin, et al.
Argitaratua: (2024)

Semantic text extraction from CAPTCHA using Neural Networking
nork: Chowdhury, Iftekhar Kabir, et al.
Argitaratua: (2022)

Forecasting stock market prices using advanced tools of machine learning
nork: Anwar, Md. Tawhid, et al.
Argitaratua: (2019)

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

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

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
nork: Mahtab, Motahar, et al.
Argitaratua: (2022)

Modelling option prices using neural networks
nork: Nasim, Ahmed Zohair, et al.
Argitaratua: (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
nork: Siddique, Labib Ahmed, et al.
Argitaratua: (2022)

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

Efficient image processing and machine learning approach for predicting retinal diseases
nork: Hasib, Mehadi Hasan, et al.
Argitaratua: (2021)

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

Effect of Fluctuating surface heat and mass flux on natural convection flow along a vertical flat plate
nork: Hussain, Sharmina, et al.
Argitaratua: (2016)

Analysis of malware prediction based on infection rate using machine learning techniques
nork: Zawad, Safir, et al.
Argitaratua: (2020)

Visual speech recognition using artificial neural networking
nork: Sharmili, Nowshin, et al.
Argitaratua: (2018)

Plant disease detection using convolutional neural network
nork: Hossain, Mohammad Shifat, et al.
Argitaratua: (2021)

A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
nork: Gomes, Paul Richie, et al.
Argitaratua: (2021)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
nork: Ashraf, S.M. Nabil, et al.
Argitaratua: (2021)

Tomato leaf disease detection using convolutional neural network
nork: Hasan, Md. Riazul, et al.
Argitaratua: (2023)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
nork: Khilji, Ishfaque Qamar, et al.
Argitaratua: (2021)

KDANet: optical recognition for Bangla language using deep neural networks
nork: Rabbi, Kazi Kamruzzaman, et al.
Argitaratua: (2023)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
nork: Shahriar, Hasan, et al.
Argitaratua: (2022)

Audio recognition using feed forward neural network optimized by principle component analysis
nork: Momo, Nusrat Suzana, et al.
Argitaratua: (2017)

Fundamentals of artificial neural networks /
nork: Hassoun, Mohamad H.
Argitaratua: (1995)

Brain tumor detection with convolutional neural network
nork: Galib, Abrar Tahmid, et al.
Argitaratua: (2024)