Titlebook: Neural Information Processing; 19th International C Tingwen Huang,Zhigang Zeng,Chi Sing Leung Conference proceedings 2012 Springer-Verlag B

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Nearly Optimal Control for Nonlinear Systems with Dead-Zone Control Input Based on the Iterative ADP). The discrete-time Hamilton-Jacobi-Bellman (DTHJB) equation corresponding to the dead-zone control input is formulated. Based on ADP technique, a new cost function is proposed that solves the optimal control with dead zone constraints effectively. It shows that this algorithm allows the implementa

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Load Forecasting Accuracy through Combination of Trimmed Forecasts reported in the literature. Their popularity is mainly due to their excellent learning and approximation capabilities. However, NN models suffer from the problem of forecasting performance fluctuations in different runs, due to their development and training processes. Averaging of forecasts genera

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Manjusri Wickramasinghe,Jayantha Rajapakse,Damminda Alahakoonbit building trust in their behavior, which is crucial in safety critical applications such as autonomous driving. Therefore, techniques which aid in understanding and providing guarantees for neural network behavior are the need of the hour. In this paper, we present a case study applying a recentl

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Noor Almaadeed,Amar Aggoun,Abbes Amirath piecewise affine activation units, which may be encoded symbolically as a piecewise affine mapping from inputs to outputs. The approach rests on characterizing and bounding a critical subset of the state space where controller action is required, partitioning this critical subset, and using satis

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