The chain reaction of 1,2-dichloroethane induced by a CW CO, laser has been studied in the presence of SF, as a sensitizer. Vinyl chloride and hydrogen chloride are the main products. The photosensitized decomposition of 1,2-dichloroethane mainly depends on the irradiated laser frequency and is governed by the excitation of the vibrational mode and collisional energy transfer. Arrhenius plots show two distinct regimes, corresponding to the respective activation energies: 96.3 kJ mol-' for the low-temperature regime and 50.2 kJ mol-' for the high-temperature regime. The inhibiting and promoting effects of propene and chlorine, respectively, on the chain reaction are examined. The kinetics proposed for the chain reaction are in agreement with the observed data, and mechanisms for molecular excitation and intramolecular energy transfer have been discussed. By using an IR laser, active centres can be generated, and initiation and propagation of a chain reaction at lower temperatures than is possible thermally can be achieved. This may be a way to decrease the energy expenditure and reduce the number of by-products in the chain reaction.

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With the development of engineering technology and computer networks, artificial neural networks, which mimic human brain neural networks, are being used in financial market forecasting to improve the accuracy of stock predictions and are making significant progress. Therefore, there is a great need to actively investigate the method of financial data analysis based on blockchain technology. The purpose of this paper is to investigate the neural network method of financial data analysis based on blockchain technology. Shanghai Index and Shenzhen 200 Index are chosen as experimental data, which are divided into two subsets: training and test samples. The BP model is constructed based on blockchain technology to analyze MARE, RMSRE, MSPEE, RMSPE, and MARE errors. The results show that the mean absolute error rate (MARE), RMSPE, and MSPEE of training samples of blockchain-based BP model are 0.0056, 0.0787, and 0.0085, respectively. Blockchain-based BP model plays an important role in solving financial data analysis problems.