SLOPE STABILITY PREDICTION BASED ON A LONG SHORT-TERM MEMORY NEURAL NETWORK: COMPARISONS WITH CONVOLUTIONAL NEURAL NETWORKS, SUPPORT VECTOR MACHINES AND RANDOM FOREST MODELS

Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models

Abstract The numerical simulation and slope stability prediction are the focus of slope disaster research.Recently, machine learning models are commonly used in the slope Lanterns stability prediction.However, these machine learning models have some problems, such as poor nonlinear performance, local optimum and incomplete factors feature extractio

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Mating status affects females feeding behavior but does not the encapsulation response in the field cricket, Gryllus (Gryllus) assimilis (Fabricius, 1775)

Mating can trigger different effects on the physiology and behavior of animals, especially in females.These effects can be either beneficial, such as boosting the immune response, or harmful, such as decreasing survival, for example.Cricket females are among the most used models for understanding these life history trade-offs.We recently demonstrat

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