Title :
Forecasting Typhoon Moving Path Using BPNN-Weighted Grey-C3LSP Tuned by Quantum-Neuron-Based Adaptive Support Vector Regression with Nested Local Adiabatic Evolution
Author :
Chang, Bao Rong ; Tsai, Hsiu Fen
Author_Institution :
Nat. Taitung Univ., Taitung
Abstract :
A novel forecasting approach is composed of BWGC and NGARCH tuned by quantum-neuro-based adaptive support vector regression with nested local adiabatic evolution. Instead of traditionally (globally) adiabatic evolution algorithm for unstructured search, we focus on the structured adiabatic quantum search by nesting a partial search over a reduced set of variables into a global search for solving an optimization problem on adaptive support vector regression (ASVR) yielding an average complexity of order radicNa, with a < 1. The proposed method is experimentally applied to predicting typhoon moving path even though fewer sampled data are available to work out possibly real-time look-ahead typhoon moving position. Consequently, it yields satisfactory results of forecasting typhoon moving path when comparing with several alternative methods.
Keywords :
backpropagation; forecasting theory; quantum computing; regression analysis; search problems; storms; support vector machines; weather forecasting; BPNN-weighted grey-C3LSP; nested local adiabatic evolution; quantum-neuron-based adaptive support vector regression; realtime look-ahead typhoon moving position; structured adiabatic quantum search; typhoon moving path forecasting; Computer science; Constraint optimization; Constraint theory; Kernel; Lagrangian functions; Neuromorphics; Neurons; Quantum computing; Search problems; Typhoons;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-2994-1
DOI :
10.1109/IIHMSP.2007.4457479