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- W2896894713 abstract "The projection pursuit regression (PPR) algorithm is very complicated. By partial smooth regressions for many times, it needs much computation and complicated extrapolation, so it is easily trapped in partial solution. Some modifictions are given to optimize project direction by using particle swarm optimization(PSO), to simplify the optimal process with fitting ridge function with Hermitian polynomial. The overall optimal ridge function can be obtained without grouping the parameter optimization. The modeling capability and calculating accuracy of the modified PPR are tested by means of numerical simulation based on the PSO and Hermitian polynomial, and then applied to the seismic comprehensive forecasting from the poly-dimensional seismic samples. The calculation and analysis show that the modified PPR is characterized by simplicity, celerity and effectiveness. And this model is approved to have satisfactory effects in the real seismic comprehensive forecasting." @default.
- W2896894713 created "2018-10-26" @default.
- W2896894713 creator A5081946935 @default.
- W2896894713 date "2018-07-01" @default.
- W2896894713 modified "2023-09-25" @default.
- W2896894713 title "On Comprehensive Model of Seismic Level Simulation" @default.
- W2896894713 doi "https://doi.org/10.23919/chicc.2018.8483307" @default.
- W2896894713 hasPublicationYear "2018" @default.
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