Panda population prediction method based on multi-environmental-membrane system
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A forecasting method and technology of giant pandas, applied in forecasting, data processing applications, instruments, etc., can solve problems such as complex modeling process, capture of spatial dynamics and random effects of ecosystems, and solution of predicted population numbers
Active Publication Date: 2019-10-08
SOUTHWEST JIAOTONG UNIV
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The most commonly used methods in ecosystem data modeling are mathematical analysis methods such as ordinary differential equations and partial differential equations. However, ordinary differential equations cannot capture the spatial dynamics and random effects of ecosystems well. Although partial differential equations can solve overcome the above deficiencies, but the modeling process is too complicated, and any small changes require re-establishment of the model
[0003] In the process of the existing giant panda population prediction method, it is difficult to predict the population number based on the species evolution behavior. Therefore, we propose a giant panda population prediction method based on the multi-environmental membrane system
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Embodiment 1
[0049] The configuration file 1002, the script file 1003 are called by the processor 1001, and the following operations are performed:
[0050] Read the basic information of the simulation software Mecosim application, such as file path, program path, simulation cycle and the number of simulation steps required for a cycle.
[0051] Obtain input data, such as import configuration file 1002, script file 1003 and model file, these file data will participate in the execution of population prediction during the prediction process.
[0052] Further, the processor 1001 can call the multi-environment membrane system modeling program stored in the memory 1004, and also perform the following operations:
[0053] To obtain an algorithm required by a computing device, such as dndp, the key steps of the algorithm include a method for initializing a rule set and a method for selecting an executable rule set in the model.
[0054] Further, the processor 1001 can call the multi-environment ...
Embodiment 2
[0064] refer to image 3 , in the prediction method of the present invention, the method comprises the following steps:
[0065] Step S010: Construct a conceptual model of the dynamic multi-environmental probability membrane system of the giant panda population, which is specifically introduced as follows:
[0066]Membrane computing is an emerging research field in natural computing. Its computing model is abstracted from the structure of living cells and the cooperation of cell groups. It is theoretically proved that it is equivalent to the computing power of Turing machines. The membrane system has different cell structures (each cell is abstracted as an environment), and each cell has a complete set of rules and objects, and several objects can be exchanged between cells. After the transformation of the secondary format, a series of model calculation results are output.
[0067] In the designed model, the multi-environmental space studied is mainly concentrated in the cap...
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Abstract
The invention discloses a panda population prediction method based on a multi-environmental membrane system. The panda population prediction method comprises a processor, wherein the output end of theprocessor is electrically connected with a configuration file; the output end of the processor is electrically connected with a script file; the output end of the script file is electrically connected with a memory; and the output end of the memory is electrically connected with a robustness testing device and a sensitivity testing device. The panda population prediction method can perform symbolization on the evolutionary behavior of a concept model by inputting original pedigree data of pandas of two bases of GPBB and CCRCGP, designing the concept model of a multi-environment membrane system, and designing a calculation model of the multi-environment membrane system, selects a MeCoSim software platform to carry out panda population prediction simulation on the multi-environment membranesystem of the calculation model, takes core parameters such as original panda data and the statistical birth rate as initial data, selects a parameter uncertainty probability distribution method to predict the combined action of probability parameter values of different panda individual age groups, and is convenient for completing work of predicting the population number according to species evolution behaviors.
Description
technical field [0001] The invention relates to the technical field of ecological species modeling methods, in particular to a giant panda population prediction method based on a multi-environment membrane system. Background technique [0002] The study of ecosystem population diversity is conducive to better grasp the law of population development. The most commonly used methods in ecosystem data modeling are mathematical analysis methods such as ordinary differential equations and partial differential equations. However, ordinary differential equations cannot well capture the spatial dynamics and random effects of ecosystems. The above shortcomings are solved, but the modeling process is too complicated, and any minor changes need to rebuild the model. [0003] In the process of the existing giant panda population prediction method, it is difficult to predict the population number according to the evolutionary behavior of the species. Therefore, we propose a giant panda p...
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