Journal of Big Data

Table 3 A summary of study hyperparameters

From: A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction

Parameters	CNN	LSTM
Input layer	1
Input feature dimension	1–70	62
Dense Layers	2	2
Output Layer	1	1
Dropout rate		0.2
Epoch	100	10
Activation	ReLU/ sigmoid	Tanh/ sigmoid functions
Weight	Normal [1, 1]	Normal [0,1]
Optimiser	Adam	Adam
Learning rate	0.002	1e-3—1e-4
Objective function	Cross-entropy	Cross-entropy

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