Essays about: "Feedforward Neural Network"

Showing result 16 - 20 of 39 essays containing the words Feedforward Neural Network.

1. 16. Deep Convolutional Nonnegative Autoencoders

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yann Debain; [2020]
   Keywords : ;

   Abstract : In this thesis, nonnegative matrix factorization (NMF) is viewed as a feedbackward neural network and generalized to a deep convolutional architecture with forwardpropagation under β-divergence. NMF and feedfoward neural networks are put in relation and a new class of autoencoders is proposed, namely the nonnegative autoencoders. READ MORE

3. 17. Estimating Prediction Intervals with Machine Learning and Monte Carlo Methods in Online Advertising

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Emil Häglund; [2020]
   Keywords : ;

   Abstract : Online advertising presents a complex environment. The vast amount of available websites, platforms and formats as well as the trend of programmatic adpurchasing makes assessing a proposed advertisement in terms of cost and expected return challenging. READ MORE

4. 18. Classifying True and Fake Telecommunication Signals With Deep Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Axel Myrberger; Benjamin Von Essen; [2020]
   Keywords : Deep learning; frequency response; multipathchannel models; WINNER II; hyperparameter search; binaryclassification; feedforward network; neural network;

   Abstract : This project aimed to classified artificiality gener-ated,fake, and authentic,true, telecommunication signals, basedupon their frequency response, using methods from deep learn-ing. Another goal was to accomplish this with the least amountof dimension of data possible. READ MORE

5. 19. Detection of Human Emotion from Noise Speech

   University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

   Author : Sai Chandra Sekhar Reddy Nallamilli; Nihanth Kandi; [2020]
   Keywords : Neural Network; Activation Function; Fast Fourier Transform; Karhunen-Loeve Transform; speech enhancement; filtering; Wavelet Transform; Speech preprocessing; signal to noise ratio; shallow neural network;

   Abstract : Detection of a human emotion from human speech is always a challenging task. Factors like intonation, pitch, and loudness of signal vary from different human voice. So, it's important to know the exact pitch, intonation and loudness of a speech for making it a challenging task for detection. READ MORE

6. 20. Predicting Exchange Rate Value-at-Risk and Expected Shortfall: A Neural Network Approach

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : Anna Bijelic; Tilila Ouijjane; [2019]
   Keywords : Value-at-Risk; Expected Shortfall; Recurrent Neural Networks; GRU; GARCH 1; 1 ; Exchange Rate Volatility; Intra-day Data; Business and Economics;

   Abstract : On the basis of the recommendation of the Basel Committee on Banking Supervision to transition from Value-at-Risk (VaR) to Expected Shortfall (ES) in determining market risk capital, this paper attempts to investigate whether a Recurrent Neural Network provides more accurate VaR and ES predictions of the EUR/USD exchange rate compared to the conventional GARCH(1,1) model. A number of previous studies has confirmed the forecasting ability of a plain vanilla Feedforward Neural Network over traditional statistical models. READ MORE