鸢尾花bp神经网络python
时间: 2023-10-31 17:06:07 浏览: 82
可以使用Python中的TensorFlow或者Keras库来构建BP神经网络进行鸢尾花分类。以下是一个简单的示例代码:
```python
import tensorflow as tf
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import OneHotEncoder
# 加载数据集
iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.2)
# 对标签进行one-hot编码
enc = OneHotEncoder()
y_train = enc.fit_transform(y_train.reshape(-1, 1)).toarray()
y_test = enc.transform(y_test.reshape(-1, 1)).toarray()
# 构建模型
model = tf.keras.Sequential([
tf.keras.layers.Dense(10, activation='relu', input_shape=(4,)),
tf.keras.layers.Dense(3, activation='softmax')
])
# 编译模型
model.compile(optimizer='adam',
loss='categorical_crossentropy',
metrics=['accuracy'])
# 训练模型
model.fit(X_train, y_train, epochs=50, batch_size=16)
# 评估模型
test_loss, test_acc = model.evaluate(X_test, y_test)
print('Test accuracy:', test_acc)
```