Prompt Content
Develop and train an anomaly detection model (e.g., using Isolation Forest, Autoencoders, or an LSTM network) on a synthetic dataset of satellite orbital parameters. The model should identify significant deviations in parameters like semi-major axis, inclination, and eccentricity. Document your feature engineering choices, model architecture, and how Gemma 2 principles (if not direct integration) informed your approach.
Try this prompt
Open the workspace to execute this prompt with free credits, or use your own API keys for unlimited usage.
Related Prompts
Explore similar prompts from our community
Usage Tips
Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)
Customize placeholder values with your specific requirements and context
For best results, provide clear examples and test different variations