Considering complex factors of affecting ambient temperature in Aircraft cabin, and some shortages of traditional PID control like the parameters difficult to be tuned and control ineffective, this paper puts forward the intelligent PID algorithm that makes fuzzy logic method and neural network together, scheming out the fuzzy neural net PID controller. After the correction of the fuzzy inferen...

This paper pro oses a neural fuzzy connection admission control NFCAC) scheme, which combines of the neural-net, t o solve the connection admission control (CAC) problems in ATM networks. Recently, fuzzy logic systems have been successfully applied t o deal with the traffic control related probleims and provided a robust mathematical framework for dealing with "real-world" imprecision; multi-la...

Since knowledge in expert system is vague and modified frequently, expert systems are fuzzy and dynamic systems. It is very important to design a dynamic knowledge inference framework which is adjustable according to knowledge variation as human cognition and thinking. Aiming at this object, a generalized fuzzy Petri net model is proposed in this paper, it is called adaptive fuzzy Petri net (AF...

New Neuro-Fuzzy Systems, using algorithms for unsupervised fuzzy clustering based on so-called Weighted Neural Networks, are introduced and used for Unsupervised Image Segmentation. New incremental and fixed (or grid-partitioned) Weighted Neural Networks (WNN) are introduced and used for this purpose. The WNN algorithm (incremental or grid-partitioned) produces a net, of nodes connected by edge...

The paper aims at extending the scope of application of Widrow-Hoff ’s ADALINE model from binary to gray-level (fuzzy) pattern recognition. The condition of stability for the extended ADALINE model has been derived and the algorithm for training the multilayered feedforward neural net consisting of ADALINE neurons have been presented. The time required for training the neural net is insignifica...

The paper describes the operation principles of the evolutive neuro fuzzy filtering (ENFF) properties, which based on back propagation fuzzy neural net, this filter adaptively choose and emit a decision according with the reference signal changes of an external reference process, in order to actualize the best correct new conditions updating a process. This neural net fuzzy filter mechanism sel...

The main problem in constructing fuzzy systems consists on finding an initial structure for it. The structure of fuzzy systems is composed of the number of fuzzy sets partitioning each variable and their distribution in the universe of discourse. This paper proposes the use of the autonomous-mountain clustering method to identify this structure for applications in fuzzy systems modeling. To inv...

A supervisory hybrid system may be modeled from two levels: logic level (upper) and continuous level (lower). In this paper, adaptive fuzzy Petri nets and neural networks are combined together for supervisory hybrid system modeling. Adaptive Fuzzy Petri Net is adopted to model the supervisory logic parts, and dynamic neural networks are applied to continuous parts. Two hybrid system examples ar...