Qualitative company performance evaluation: linear discriminant analysis and neural network models

Article Abstract:

A classification model that evaluates the company performance based on qualitative criteria including organizational and managerial variables is presented. The model determines the eligibility of the firm to receive state subsidies for high-tech product development. In addition, a similar model was developed employing backpropagation learning algorithm and its classification performance was compared against the linear model. The robustness of the classification power of both models is evaluated.

Usage, Multivariate analysis

---

Reinforcement learning in neurofuzzy traffic signal control

Article Abstract:

Research describing learning reinforcement in neurofuzzy traffic signal control is presented. In neurofuzzy traffic signal control, the fuzzy controller is adapted by a neural network. Reinforcement learning is the learning algorithm of this network.

Research, Learning, Set theory, Fuzzy sets, Traffic signals, Traffic signs and signals, Teaching models, Road signs

---

Similar abstracts:

• Abstracts: Price competition and market concentration: an experimental study. Location, cooperation and communication: an experimental examination
• Abstracts: A tower strength. Rapid radar display for military and commercial use. High resolution displays on the right track
• Abstracts: The revolution in auto retailing. VancouverEs driving force. Lange-Mechlen: marketing pioneer
• Abstracts: Estimating the urban OD matrix: a neural network approach. Training the random neural network using quasi-Newton methods

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.