Titlebook: Enterprise Information Systems II; Bernadette Sharp,Joaquim Filipe,José Cordeiro Book 2001 Springer Science+Business Media Dordrecht 2001

Panacea

Self Organising Maps for Value Estimation to Solve Reinforcement Learning Tasksive and unsupervised learning process. One of the key ideas of this approach is to estimate the value of agent states. For huge state spaces however, it is difficult to implement this approach. As a result, various models were proposed which make use of function approximators, such as neural network

APEX

An Information Theoretic Self-Organising Map with Disaggregation of output Classesg classes into two-dimensional maps are treated as separate processes. The clustering process is based on the maximisation of mutual information between the classes and the attributes of the data. The ordering process is based on the maximisation of the correlation coefficient between corresponding

火海

Enthralling

画布

An Architecture for on-Line Intelligent Control of Blast Furnacesd evaluation of more than a hundred parameters considered as input variables. The main difference between the system proposed here and a classical diagnostic system is the coexistence of three different models of behaviour: one based on a theoretical model of behaviour of thermal status and permeabi

Medicare

A User-Friendly Development Tool for Medical Diagnosis Based on Bayesian Networksriendly interface, giving the users (experts in the medical domain) the possibility to design diagnostic applications without deep background knowledge on Bayesian networks theory. Efficient statistical inference mechanisms are implemented, taking advantage of the simple structure of medical diagnos

戏服

Tourism Development Management,d systems) is outlined and a simplified approach to database design is explained, showing how it integrates with the web and automatically ensures good practice. A set of tools which support the approach are briefly described. The effectiveness of the approach is illustrated by describing some syste

忙碌

https://doi.org/10.1007/1-4020-4477-1nd GTM unsupervised neural networks. It is concluded that MIR-max: a) outperformed SOM and GTM with respect to clustering and global ordering; b) offers some powerful new features; and c) is especially suited for use on . data.

GNAT

https://doi.org/10.1007/978-981-99-3354-9thod for conversation representation that is inspired in syntactic pattern recognition methods, specifically syntax-directed translation schemes. This method has a clear semantics that can be easily given a declarative implementation, thus becoming flexible enough to accommodate on-line extensions a

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