Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real World Performance - Trippi, Turban, et al. - 1992 () Citation Context ...r series; wavelets (Gencay, Selchuk, and Whitcher, 2001); radial basis functions (Powell, 1987; Lendasse, et. al., 2003); and...
UND E. TURBAN (1994): Neural Networks in Finance and Investing, 2.Aufl., Chicago.Artificial Neural Systems : Foundations, Paradigms and Applications - Simpson - 1990 () Citation Context ...Task Support NNs can be a useful tool for inferring users' tasks because of their modeling power, ...
Department of Finance, Loyola University of Chicago, 820 N. Michigan Avenue, Chicago, IL 60611;John Wiley & Sons, Ltd.Decision SciencesSalchenberger, L., Cinar, E., Lash, N., Neural networks: A new tool for predicting thrift failures, Decision Sciences, 1992., vol. 23, pp. 899-916...
Neural Networks in Finance and Investing. Using Artificial Intelligence to improve Realworld Performance Neural networks in finance and investing:using artificial intelligence to improve real world performance[M].New York,USA:McGraw Hill,Inc 1992... A Timmerman - McGraw-Hill, Inc. 被引量: 91发表...
Trippi, R.R., Turban, E.: Neural Networks in Finance and Investing Using Artificial Intelligence to Improve Real-world Performance. Probus Company, Chicago (1993) Kryzanowski, L., Galler, M., Wright, D.W.: Using Artificial Neural Networks to Pick Stocks. J. Financial Analysts Journal ...
The ascent of smart beta investing has significantly reshaped the financial domain. Over the last decade, the surge in smart beta funds has been remarkable. In the past, the market exhibited a higher prevalence of discernible anomalies or 'alpha features'. However, the adoption of smart beta ...
Second, most professional portfolio managers are specialized in a couple of strategies and these strategies often involve a similar set of stocks. For example, value investing [2] tilts to firms with high earning-to-price ratio, while momentum strategy focuses on firms with higher returns during ...
Rahimian E, Singh S, Thammachote T, Virmani R. Bankruptcy prediction by neural network. In: Trippi, Turban (eds). Neural Networks in Financing and Investing. Probus Publishing, 1993; 159–176 Koutsougeras C, Papachristou G. Training of a neural network for pattern classification based on an...
Technical Analysis Toolkit for Neural Networks in Finance and Investing Chapter© 2019 Risk Prediction of Enterprise Financial Management Based on Optimized BP Neural Network Algorithm © 2022 Introduction Every deal, fund, source, and capital income is managed in corporate financial management. Corpora...
Investing in the development and implementation of deepfake detection systems utilizing CNNs and CVTs is crucial for staying ahead in the rapidly evolving digital landscape, particularly for sectors vulnerable to deepfake-related risks such as media, politics, and finance. The quest for reliable ...