IntelligenceLab是一個人工智能庫,其包含有分類器,訓(xùn)練組件以及通用的神經(jīng)元組件。可以廣泛的應(yīng)用于數(shù)據(jù)篩選,SPAM過濾,機(jī)械視覺,語言識別,以及其他類型的工作。
IntelligenceLab is an Artificial Intelligence library. The library contains classifiers, training components, and general purpose neuron component.The library can be used for data grouping, SPAM filters, computer vision, speech recognition, or any other classification task.
以下是IntelligenceLab的部分組件:
分類器:
- 神經(jīng)網(wǎng)絡(luò)分類
- 初級貝氏分類
- 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
- 對多種數(shù)據(jù)緩沖進(jìn)行配對
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.