Denoiser 2 laggin a lot6/21/2023 ![]() Therefore, this paper proposed a combination of ELM- and DWT-based denoising to predict the trend of stocks. ![]() Extreme learning machine (ELM) is one of the effective training algorithms for fully connected single-hidden-layer feedforward neural networks (SLFNs), which possesses the advantages of fast convergence, unique results, and it does not converge to a local minimum. The denoised data showed more stable trend characteristics and smoothness. Denoising the stock data assisted us to eliminate the influences of short-term random events on the continuous trend of the stock. Therefore, we used discrete wavelet transform (DWT)-based denoising to denoise stock data. The short-term fluctuation of stock price has high noise, which is not conducive to the prediction of stock trends. Accidental factors often lead to short-term sharp fluctuations in stock markets, deviating from the original normal trend. The trend prediction of the stock is a main challenge.
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