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- Alois P Heinz
- 1994

We introduce the adaptive fuzzy logic network (AFLN) as the appropriate architecture for the realization of fuzzy membership and fuzzy logic functions. The according AFLN to a given training set is easily constructed and optimized. As their main advantage AFLNs provide for a very eecient sequential implementation of fuzzy systems. This eeciency is achieved… (More)

- Alois P Heinz
- 1995

We propose a new parallel implementation of the neural tree feed-forward network architecture that supports eecient evaluation and learning regardless of the number of layers. The neurons of each layer operate in parallel and the layers are the elements of a pipeline that computes the output evaluation vectors for a sequence of input pattern vectors at a… (More)

- Alois P Heinz
- 1994

| We propose the lazy neural tree (LNT) as the appropriate architecture for the realization of smooth regression systems. The LNT is a hybrid of a decision tree and a neural network. From the neural network it inherits smoothness of the generated function , incremental adaptability, and conceptual simplicity. From the decision tree it inherits the topology… (More)

- Alois P Heinz
- 1994

- Alois P Heinz
- 1996

| A tree-structured neural network (TSNN) is described that meets the special requirements of real-time adaptive modeling and control. It is shown that TSNN are capable of arbitrarily accurate approximation to a given function and its derivatives under certain conditions. The evaluation of a TSNN function and its Jacobian is extremely eecient due to the… (More)

Ntree is a C library of tools for the construction, training, and evaluation of Neural Trees. It contains an improved version of the CART algorithm for the construction of binary decision trees that incorporate splits with respect to fuzzy sets. These trees can be regarded as (or translated to) Neural Trees. For their training the Ntree library implements… (More)

- Alois P Heinz
- 1995

We propose Adaptive Fuzzy Neural Trees as an appropriate tool for intelligent data analysis, comprehension , and prediction. Instead of using a single technique Adaptive Fuzzy Neural Trees as a mixture of paradigms combine the main advantages of neural networks, decision trees, and fuzzy logic. Like neural networks they are able to model smooth functions… (More)

We propose-evaluation functions that can be used in game-playing programs as a substitute for the traditional static evaluation functions without loss of functionality. The main advantage of an-evaluation function is that it can be implemented with a much lower time complexity than the traditional counterpart and so provides a signiicant speedup for the… (More)