34results about How to "Achieve generalization" patented technology

The invention discloses a crop classification method and system. The classification method includes: constructing historical crop marker samples according to the historical multi-temporal mid-segment images and historical crop phenology data; constructing high-precision small-area current crop marker samples according to the current multi-temporal high-resolution images and current crop phenology data; according to ResNet model and PSPNet model to establish the remote sensing network RSNet model; pre-train the remote sensing network RSNet model according to the historical training samples to establish the pre-trained remote sensing network RSNet model; fine-tune the pre-trained remote sensing network RSNet model according to the current training samples to establish a fine-tuned remote sensing network RSNet model; establishing an optimal pre-trained remote sensing network RSNet model and an optimal fine-tuning remote sensing network RSNet model; classifying the crops according to the optimal pre-training remote sensing network RSNet model and the optimal fine-tuning remote sensing network RSNet model. By adopting the classification method and system provided by the present invention, the workload of training sample selection can be reduced, and the classification efficiency can be improved.

The invention relates to a RBFNN-based mesoscopic fuel consumption prediction method, which determines the influencing factors of road energy consumption; divides the vehicle driving trajectory into driving segments; calculates the average energy consumption of vehicles in a form segment; and analyzes the average energy consumption distribution of the road section Calculate the average energy consumption of the road section; determine the parameter settings such as road energy consumption factors; use the obtained data set as the training set of the neural network for model learning; input the test data set, and calculate the prediction result of road fuel consumption. With the support of a large amount of energy consumption trajectory data set, the present invention accumulates a large number of observation samples on input parameters such as road section type, vehicle average speed and output parameters of road energy consumption, and grasps the influencing factors of road energy consumption through the training of observation samples The law of the correlation relationship with the average energy consumption of the road, so that the energy consumption of other road sections in the road network with insufficient energy consumption trajectory samples can be predicted, and the generalization of the energy consumption law has been realized. There is a high degree of monitoring granularity. precision.

The invention discloses a method for conducting arm control through deep learning. The method comprises the steps that firstly, an image of the motion process of a mechanical arm is collected, meanwhile, a control command of the arm is recorded at a certain frequency, and a controller expressed through a deep neural network is obtained through an end-to-end training method. On that basis, close observation shows that the control structure is expressed through the deep neural network, the motion error of the arm can be further reduced through the end-to-end training method, and obstacle avoidance motion can still be achieved greatly under the condition that an obstacle exists. The method is flexible to implement, samples needed by training are decreased to a great extent, and the method has a great advantage for the condition that large samples cannot be obtained easily for motion of the mechanical arm.

The invention provides a portable air conditioner suitable for various occasions, which comprises an indoor unit and an outdoor unit, wherein the indoor unit and the outdoor unit are connected with each other via an indoor and outdoor connecting assembly; fast switching of the indoor and outdoor connecting assembly is realized via a fast connecting component; the indoor unit comprises an automatic drainage system which is characterized in that a water level induction passage is formed on the inner side surface of a clamping groove formed in one end of an indoor unit water-containing plate; an electromagnetic induction switch is in interference fit with an electromagnetic induction switch clamping groove; a floating ball is limited in the water level induction passage; an indoor unit drainage pipe is connected to the water-containing plate; an outdoor unit drainage pipe is connected to an outdoor unit water pump; after the indoor unit drainage pipe and an outdoor unit connecting water pipe are butted via the fast connecting component, an automatic drainage passage is formed; both the electromagnetic induction switch and the water pump communicate with a controller; and the controller controls the on / off of the water pump according to water level information of the electromagnetic induction switch. Due to the automatic drainage system, the portable air conditioner can run continuously to ensure the comfort of a user; and moreover, as manual drainage is avoided, the portable air conditioner is convenient and practical for the user.