The deformation process of landslide displacement has complex nonlinear characteristics. In view the problems large error, slow convergence and poor stability traditional neural network prediction model, in order to better realize accurate effective displacement, this research proposes a model based on Genetic Algorithm (GA) optimized Elman network. This combines GA with optimize weights, thres...

We present a giant sensitivity displacement sensor combining the push-pull method and enhanced Vernier effect. The consists in two interferometers that are composed by cleaved standard optical fibers coupled 3 dB coupler combined with double-sided mirror. push pull-method is applied to mirror creating symmetrical change length of each interferometer. Furthermore, we demonstrate effect has maxim...