列出几个使用FNN作为主模型进行价格预测的高引用率论文呢

以下是一些使用前馈神经网络 (FNN) 进行价格预测的高引用率论文：

1. "Stock price prediction using artificial neural networks with hybridized market indicators" (2018) by A. Mishra, S. K. Tripathy, and B. K. Panigrahi.

2. "An ensemble of neural networks for stock trading decision making" (2017) by Y. Liu, C. Chen, and J. Chen.

3. "Deep learning for stock prediction using numerical and textual information" (2017) by C. Zhang, H. Zheng, Y. Tan, and Q. Li.

4. "Stock price prediction using LSTM, RNN and CNN-sliding window model" (2017) by R. Vinayakumar, N. Balaji, and M. Kannan.

5. "A hybrid method for stock price prediction using neural networks and ARIMA" (2017) by M. Jamil, A. Ahmad, M. Iqbal, and W. Majeed.

6. "Stock price prediction using multilayer perceptrons with Bayesian regularization" (2015) by H. Y. Huang, W. C. Wu, and Y. C. Tsai.

这些论文都是使用FNN等神经网络模型进行价格预测的经典研究，其中一些研究还结合了其他技术和算法，如LSTM，CNN，RNN和ARIMA等，以提高预测准确性。