Lotterie SuperLoto
Neuronales Netz — Zahlenvorhersage
Trainieren Sie ein Deep-Learning-Modell und erhalten Sie Vorhersagen
Das neuronale Netzwerk-Modul für die Lotterie SuperLoto nutzt TensorFlow.js, um ein Modell direkt in Ihrem Browser zu trainieren. Das Modell lernt aus historischen Ziehungen und erstellt Vorhersagen für zukünftige Zahlen.
Konfigurieren Sie Fenstergröße, Epochen und Netzwerkarchitektur, dann starten Sie das Training und testen Sie Ihr Modell mit dem Backtest.
How to Use the Neural Network for SuperLoto
Step-by-step guide for SuperLoto lottery
1
Load data
Click "Load Data" to get the full draw archive.
2
Configure and train the model
Set parameters, compile the model, and start training. Monitor the Loss and Accuracy charts.
3
Get a prediction
After training, click "Predict" to get probabilities for each ball.
4
Verify on history
Run backtesting to evaluate the model's prediction quality on real historical data.
Frequently Asked Questions about SuperLoto
Answers to popular questions for SuperLoto
Training happens entirely in your browser using TensorFlow.js. Data is not sent to any third-party servers.
The sliding window determines how many previous draws the model analyzes to predict the next one. For example, with a window of 5, the model looks at the last 5 draws.
Yes, the trained model is saved in the browser's local storage. You can load it later without retraining.
No. Lottery is a game of chance. The model analyzes statistical patterns but cannot guarantee results.