以下是IntelligenceLab的部分組件：

分類器：

• 神經(jīng)網(wǎng)絡(luò)分類
• 初級(jí)貝氏分類
• K-最近鄰分類
• 自組織映射分類

訓(xùn)練組件：

• BP（回傳）神經(jīng)網(wǎng)絡(luò)訓(xùn)練
• 彈性BP神經(jīng)網(wǎng)絡(luò)訓(xùn)練
• 為分類器準(zhǔn)備訓(xùn)練數(shù)據(jù)

其他組件：

通用的神經(jīng)元組件

此外，IntelligenceLab也包含了以下SignalLab組件：

• 通用實(shí)數(shù)篩選器
• 通用實(shí)數(shù)生成器
• 通用二進(jìn)制篩選器
• 通用實(shí)數(shù)（雙精度）矩陣緩沖數(shù)據(jù)篩選器
• 通用二進(jìn)制數(shù)據(jù)生成器
• 對(duì)多種數(shù)據(jù)緩沖進(jìn)行配對(duì)

The following components are part of IntelligenceLab:

Classifier components:

• Neural Network classifier.
• Naive Bayes classifier.
• K Nearest Neighbor classifier.
• Self Organizing Map classifier.

Training components:

• Back propagation Neural Network trainer.
• Resilient back propagation Neural Network trainer.
• Prepares training data for the classifiers.

Other components:

• General purpose neuron component.

The following SignalLab component is included as well:

• Generic Real filter
• Generic Real generator
• Generic Binary Filter
• Generic filter for Real(double) Matrix Data Buffers.
• Generic Binary generator
• Pairs multiple data buffers together.