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Besides, the local minima problem faced by some FFBP algorithms was not encountered in RBF networks.
Besides, the local minima problem faced by FFBP algorithm is not encountered in GRNNs.
So, global optimization techniques are required to avoid local minima problem.
The proposed CSA method prevents the local minima problem encountered in conventional FIR-FOD design method.
However, this local minima problem can be addressed by ensemble systems (Dietterich 2000).
Learning of large-scale neural networks suffers from computational cost and the local minima problem.
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Neural network modeling via feed-forward multilayer perceptron (MLP) suffers from local minima problems and long computation time.
Although proven to be not an easy task, there are many methods proposed in the literature to overcome the local minima problems encountered [ 38- 40] during parameter inference.
The area is largely commercial slums now which will result in a minimum problem of dislocation.
In numerical simulations, the BNN-1 showed a better performance than the continuous-time Hopfield network, as far as the spurious-minima problem is concerned and exhibited many biologically plausible characteristics.
In this section, we analyze the model from inner minimum problem to outer minimum problem.
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