40results about How to "Solve the "curse of dimensionality" problem" patented technology

The invention relates to a word computing method and a word computing device based on a broad general type-2 fuzzy set. The method comprises the steps of building a broad general type-2 fuzzy set word model; building a univariate rule module, measuring proximity between an actual input assessment criteria linguistic value and a corresponding univariate rule module rule first component to serve as a weight and a rule consequent, and aggregating to acquire an intermediate output word linguistic value; operating to acquire a univariate rule module weight via a constrained multi-objective optimization algorithm, and aggregating the univariate rule module weight with the intermediate output word linguistic value to acquire a final output word linguistic value; determining a plurality of object relations to be evaluated through sorting via a fractional function method, or computing proximity between the final output word linguistic value and the known output word linguistic values and selecting the value with the maximum proximity to serve as the actual output word linguistic value of the object to be evaluated. According to the method and the device provided by the invention, the problem of curse of dimensionality caused by rapid increase of fuzzy rules is solved, word computing efficiency and accuracy in artificial intelligence equipment are effectively improved, and wider application prospects are provided.

The invention discloses a four-rotor unmanned aerial vehicle formation reconstruction control system based on ADP and obstacle avoidance mechanism, including: a limited-time comprehensive disturbance observer based on sliding mode, which estimates the external comprehensive disturbance, and simultaneously reflects it according to the disturbance estimation value design The cost function of uncertainty, tracking error and control quantity; the formation reconstruction controller based on ADP uses the neural network to approximate the optimal cost function and solve the optimal control law, and uses the potential energy function to complete the design of UAV collision avoidance items ; The finite-time attitude tracking controller based on the sliding mode performs stable response tracking control on the yaw angle, roll angle and pitch angle of the UAV attitude, and realizes the formation maintenance and formation transformation of the multi-UAV formation in the interference environment control. The present invention adopts the above-mentioned four-rotor UAV formation reconfiguration control system, realizes multi-UAV formation generation, maintenance and reconfiguration control under the influence of comprehensive disturbance, and ensures high-quality flight of UAVs.

The invention discloses a ligand molecule massive characteristic screening method in drug design. In the drug molecule virtual screening based on the ligand, dimensionality (every dimensional characteristic represents a substructure) of the ligand molecule fingerprint feature generated by using the most popular ECFP method at present is massive and even ten thousands of dimensions due to the large number of ligand molecule, so the method can meet the problem of 'dimensionality disaster' in actual task. The method screens the massive ECFP molecule fingerprint features by using the LASSO method based on EDPP rule, and acquires related characteristics of the ligand molecule by using a robustness selecting method. The activity of the ligand molecule is often related to a few number of substructure; the method can rapidly and largely remove uncorrelated characteristics, select related characteristics of robustness, solve the problem of the 'dimensionality disaster', acquire the substructure related to the ligand activity and push the wider application of the ECFP method in the drug design.

The invention discloses a method for optimizing a minimum broken point set based on characteristics of spatial distribution. The method for optimizing minimum broken point set based on the characteristics of the spatial distribution comprises the first step of dividing the whole network into k communicated subnets at the positions of a node-cutting point and an edge-cutting set, the second step of dividing four gathered subspaces of the i connected subnets into a first subpopulation, a second subpopulation, a third subpopulation and a fourth subpopulation, the third subpopulation and the first subpopulation are mutually symmetrical, the fourth subpopulation and the second subpopulation are mutually symmetrical, the third step of working out minimum broken point sets of the first subpopulation and the second subpopulation by means of binary particle swarm optimization, the fourth step of obtaining minimum broken point sets of the third subpopulation and the fourth subpopulation according to the spatial symmetrical characteristics of the minimum broken point sets, the fifth step of repeating the step 2 to the step 4 and getting the minimum broken point sets of the k connected subnets, the sixth step of conducting union set operation on the minimum broken point sets of the k connected subnets and obtaining multiple sets of the minimum broken point sets of the whole net. The method for optimizing the minimum broken point set based on the characteristics of the spatial distribution solves the problem of 'curse of dimensionality', and rapidly obtains multiple sets of the MBPS which are quite different in positions by means of the spatial symmetrical characteristics.