FLOW PREDICTION OF A MEASUREMENT AND CONTROL GATE BASED ON AN OPTIMIZED BACK PROPAGATION NEURAL NETWORK

The measurement and control gate, as a new type of measurement and control equipment, has been widely used for water quantity control in irrigation areas.However, there is a lack of methods for calibrating the flow inside the measurement box at present.This paper establishes a flow prediction model based on a back propagation (BP) neural network an

Abstract Background In a broad variety of species, muscle contraction is controlled at the neuromuscular junction (NMJ), the peripheral synapse composed of a motor nerve terminal, a muscle specialization, and non-myelinating terminal Schwann cells.While peripheral nerve damage leads to successful NMJ reinnervation in animal models, muscle fiber rei