(1) Forward simulation In (1), you have learned to use C language programming to build a velocity model (velocity_model) and set Ricker wavelet (ricker). Next, let’s learn about forward modeling. First, you must understand the meaning of forward modeling: (1) Concept: Forward modeling is in geophysical exploration research, based on the shape, occurrence and physical […]
Tag: modeling
Step 89 Time series modeling practice: time series fusion model
64-bit system demonstration based on WIN10 1. Write in front In this issue, we introduce the fusion model model. (1) Data source: Demonstration of public data from a 2015 article in “PLoS One” entitled “Comparison of Two Hybrid Models for Forecasting the Incidence of Hemorrhagic Fever with Renal Syndrome in Jiangsu Province, China”. The data […]
LLM instantly generates a 3D world in one sentence! The unpublished code has received 300+ stars! It may trigger a revolution in the 3D modeling industry
Click the Card below and follow the “CVer” public account AI/CV heavy-duty information, delivered as soon as possible Click to enter->[Computer Vision and Transformer] Communication Group Reprinted from: Xinzhiyuan | Editor: Run So sleepy [Introduction]Recently, researchers from the Australian National University, Oxford and Chiyuan have proposed an agent framework driven by LLM that can generate […]
2023 MathorCup Mathematical Modeling Big Data Competition (Question A) | Pothole road detection and identification based on computer vision | Modeling secrets & article code ideas
Clang! Here comes the little secret! I hope everyone can easily model with little secrets, and the mathorcup competition will continue to help everyone relax their mind~ Grab the little secrets and let’s go~ Let’s take a look at Question A of the MathorCup Mathematical Modeling Big Data Competition Get the full version at the […]
scikit-learn’s universal modeling template
Scikit-learn’s universal modeling template allows you to choose an appropriate algorithm based on your needs and data magnitude. Algorithm engineers are a field that has become popular with artificial intelligence. The name sounds like the threshold is very high. However, thanks to the package sharing mechanism in the Python ecosystem, the process of building machine […]
Step 87 Time series modeling practice: LSTM regression modeling
64-bit system demonstration based on WIN10 1. Write in front In this issue, we introduce the famous LSTM regression. Again, using this data here: Demonstration of public data from a 2015 article in “PLoS One” entitled “Comparison of Two Hybrid Models for Forecasting the Incidence of Hemorrhagic Fever with Renal Syndrome in Jiangsu Province, China”. […]
scikit-learn’s universal modeling template!
Click “Xiaobai Xue Vision” above and choose to add “Star” or “Pin“ Heavy stuff, delivered as soon as possible Algorithm engineers are a field that has become popular with artificial intelligence. The name sounds like the threshold is very high. However, thanks to the package sharing mechanism in the Python ecosystem, the process of building […]
Optimization modeling ideas and sample code for the “deoxidation alloying” batching plan for molten steel in Question D of the 2019 MathorCup College Mathematical Modeling Challenge
One topic Deoxidation and alloying during the steelmaking process is an important process step in steel smelting. For different steel types, different amounts and types of alloys need to be added at the end of smelting to ensure that the alloy elements contained in them meet the standards, and ultimately the finished steel meets specific […]
Mathematical modeling – stationary time series analysis method
Table of Contents 1. Daniel test of stationarity (1) Spearman correlation coefficient hypothesis test (2) Danniel hypothesis test for stationarity of time series Case 【Model Analysis】 1. Stationarity test of original data at 2. Stationarity test of first-order difference sequence 3. Stationarity test of second-order difference sequence 4. Establish AR (2) model 【Model Solving】 1. […]
[Complex Network] Classic Network Modeling
1. ER model Generate two ER networks having 1000 and 10000 nodes with probability p = 3lnN/N, respectively. def ER_Graph(N, p): graph = nx.Graph() for i in range(N): for j in range(i + 1, N): if random.random() < p: graph.add_edge(i, j) return graph N1 = 1000 p1 = 3 * math.log(N1) / N1 G1 = […]