연구의 선진화와 생산성 향상에
필요한 최적의 소프트웨어와 컨설팅을
공급하도록 노력하겠습니다.
필요한 최적의 소프트웨어와 컨설팅을
공급하도록 노력하겠습니다.
NeuroSolutions Feature Comparison
- NeuroSolutions Features
- NeuroSolutions for Excel*
- Users
- Consultants
- Developers
- Topologies
- Linear Regression
- ×
- ×
- ×
- ×
- Multilayer Perceptron (MLP)
- ×
- ×
- ×
- ×
- Generalized Feedforward Network
- ×
- ×
- ×
- ×
- Probabilistic Neural Network (PNN)
- ×
- ×
- ×
- ×
- Modular Network
- ×
- ×
- ×
- Jordan / Elman Networks
- ×
- ×
- ×
- Self-Organizing Map (SOM)
- ×
- ×
- ×
- Principal Component Analysis (PCA)
- ×
- ×
- ×
- Radial Basis Function (RBF)
- ×
- ×
- ×
- General Regression Neural Network (GRNN)
- ×
- ×
- ×
- Neuro-Fuzzy Network (CANFIS)
- ×
- ×
- ×
- Support Vector Machine Network
- ×
- ×
- ×
- Support Vector Machine Regression Network
- ×
- ×
- ×
- Hopefield Network
- ×
- ×
- Time Delay Neural Network (TDNN)
- ×
- ×
- Time-Lag Recurrent Network (TLRN)
- ×
- ×
- General Recurrent Network
- ×
- ×
- Maximum Number of Inputs / Outputs / Neurons Per Layer
- 50
- 500
- Unlimited
- Unlimited
- Maximum Number of Hidden Layers
- 2
- 6
- Unlimited
- Unlimited
- Learning Paradigms
- Backpropagation
- ×
- ×
- ×
- ×
- Unsupervised Learning
- ×
- ×
- ×
- Recurrent Backpropagation
- ×
- ×
- Backpropagation Through Time
- ×
- ×
- Optimization Techniques
- Genetic Optimization
- ×
- ×
- ×
- Input Optimization: Greedy Search
- ×
- ×
- ×
- Input Optimization: Back-Elimination
- ×
- ×
- ×
- Input Projection Component
- ×
- ×
- Gradient Descent Methods
- Resilient Backpropagation (RProp)
- ×
- ×
- ×
- ×
- Step / Momentum
- ×
- ×
- ×
- ×
- Delta Bar Delta
- ×
- ×
- ×
- ×
- Quickprop
- ×
- ×
- ×
- ×
- Conjugate Gradient
- ×
- ×
- ×
- ×
- Levenberg-Marquardt
- ×
- ×
- ×
- ×
- Advanced Features
- Weight Regularization
- ×
- ×
- ×
- ×
- Exemplar Weighting
- ×
- ×
- ×
- ×
- Sensitivity Analysis
- ×
- ×
- ×
- ×
- Macros / OLE Automation
- ×
- ×
- ×
- ×
- Iterative Prediction
- ×
- ×
- User-defined Neural Components (using DLLs)
- ×
- ANSI C++ Source Code Generation
- ×