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On improving trust-region variable projection algorithms for separable nonlinear least squares learning.

, and . IJCNN, page 397-404. IEEE, (2011)

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Online neuro-fuzzy CANFIS hidden-node teaching., and . FUZZ-IEEE, page 2559-2565. IEEE, (2011)On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning., and . IJCNN, page 4762-4769. IEEE, (2006)Sample path-based policy-only learning by actor neural networks.. IJCNN, page 1245-1250. IEEE, (1999)Powell's dogleg trust-region steps with the quasi-Newton augmented Hessian for neural nonlinear least-squares learning.. IJCNN, page 1239-1244. IEEE, (1999)Fuzzy mixtures of complementary local experts: towards neuro-fuzzy modular networks., and . FUZZ-IEEE, page 1192-1197. IEEE, (2002)Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence Book Review., , and . IEEE Trans. Autom. Control., 42 (10): 1482-1484 (1997)Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains., and . Ann. Oper. Res., 258 (1): 107-131 (2017)Coactive neural fuzzy modeling., and . ICNN, page 760-765. IEEE, (1995)Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply., and . NIPS, page 209-216. MIT Press, (2003)On using discretized Cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains., and . CIRA, page 1-6. IEEE, (2003)