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This paper focuses on the robust exponential convergence of uncertain Takagi-Sugeno (T-S) fuzzy bidirectional associative memory (BAM) neural networks with time-varying delays.By employing Lyapunov method and delay inequality technique,several easily verifiable sufficient criteria are derived to guarantee the T-S fuzzy BAM neural networks with time-varying delays to converge robustly exponentially to a ball in the state space with a pre-specified rate.Finally,a numerical example with simulations is given to illustrate the effectiveness of our theoretical results.