最完整的類神經網路發展系統,可以用於大部分的平臺Windows,UNIX,Linux等.擁有28種標準的類神經架構,一但類神經網路建立後,所有的參數還可以自行調整,以便使得模型更靠近實際的系統,然後您可以立刻用Designer Pack(FlashCode)(Optional)來產生標準ANSI C語言,您可以用來結合專家系統Expert Systems或模糊邏輯使用Fuzzy Logic,內建高等的類神經網路性能測試以避免訓練過度(SaveBest),自動最佳化隱藏層(Optimize the Hidden Layer),也可以顯示出哪個網路輸入影響網路輸出最大(ExplainNet),外加的Designer Pack 和User Defined Neuro-Dynamics可讓您規劃上更有彈性.
28種標準的類神經架構如下
Back-propagation
Delta-Bar-Delta
Extended-Delta-Bar-Delta
Quickprop
Maxprop learning rules
Cascade architecture
Logicon Projection Network
Learning Vector Quantization
Self-Organizing Map
General Regression Network
Genetic Reinforcement Learning
Probabilistic Neural Network
Radial Basis Function Networks
Counter Propagation
Modular Neural Network
Recurrent Networks
Reinforcement Learning
Fuzzy ARTMAP
Adaline
Bidirectional Associative Memory
Brain-State-in-a-Box
Boltzman
Directed Random Search
Hamming
Hopfield
Madaline
Perceptron
Recirculation
Spatio-Temporal Pattern Recognition
01 And
02 Or
03 Xor
04 Plus
05 XxY
06 Plus
07 Sign
08 XxX
09 Abs
10 XplusY
11 XmY
12 DubleY
15 File
16 Pallet
17 InstaNet
18 IO
19 ART bp iris
20 Weather
21 whitley
22 stock
23 spr
24 SOM
25 recur01
26 rcekg3
