Mixed-signal VLSI design provides a tradeoff between the fast and compact but fixed analog implementations of neuro/fuzzy feedforward algorithms and the programmable but area and power consuming digital counterparts. In this paper, a sequentiality study of such systems is performed. Basic blocks for sequential mixed-signal neural and fuzzy computing are proposed, and two sequential example proc...

This work presents the implementation of multidimensional membership functions by means of an analogue Neuro-Fuzzy circuit realized in 0.8μm CMOS technology. The adopted circuit configuration is discussed and preliminary measurements of an integrated circuit prototype are reported. 1 Circuit implementation The fuzzy system model used in this work is based on the so-called fuzzy if-then rules [1...

In this paper, a novel self-generating neuro-fuzzy system through reinforcements is proposed. Not only the weights of the network but also the architecture of the whole network are all learned through reinforcement learning. The proposed neuro-fuzzy system is applied to the inverted pendulum system to demonstrate its performance. Key-words: reinforcement learning, neural network, neuro-fuzzy sy...

This paper presents a novel adaptive neuro-fuzzy based speed controller for vector controlled induction motor drive. The proposed neuro-fuzzy controller incorporates fuzzy logic algorithm with a five-layer artificial neural network (ANN) structure. The conventional PI controller is replaced by Adaptive Neuro-Fuzzy Inference System (ANFIS), which tunes the fuzzy inference system with hybrid lear...

The integration of neural networks and fuzzy inference systems could be formulated into three main categories: cooperative, concurrent and integrated neuro-fuzzy models. We present three different types of cooperative neuro-fuzzy models namely fuzzy associative memories, fuzzy rule extraction using self-organizing maps and systems capable of learning fuzzy set parameters. Different Mamdani and ...

Article history: Received 20 February 2011 Accepted 4 April 2011 Available online xxxx

Maintenance plays now a critical role in manufacturing for achieving important cost savings and competitive advantage while preserving product conditions. It suggests moving from conventional maintenance practices to predictive strategy. Indeed the maintenance action has to be done at the right time based on the system performance and component Remaining Useful Life (RUL) assessed by a prognost...

Electrical conductivity is an important indicator for water quality assessment. Since the composition of mineral salts affects the electrical conductivity of groundwater, it is important to understand the relationships between mineral salt composition and electrical conductivity. In this present paper, we develop an adaptive neuro-fuzzy inference system (ANFIS) model for groundwater electrical ...

Stroke has been a major source of disability that strikes humans in different age, causing chronic disability in adults. A common type of this disability is hand stroke which deprives patients from controlling their hands and fingers. Rehabilitation of stroke is usually done by functional Occupational Therapy (OT) in which the patient is trained to perform everyday exercises. On the other hand,...

We designed a neuro fuzzy control strategy for control of cyclical leg movements of paraplegic subjects. The cyclical leg movements were specified by three ‘swing phase objectives’, characteristic of natural human gait. The neuro fuzzy controller is a combination of a fuzzy logic controller and a neural network, which makes the controller self tuning and adaptive. Two experiments have been perf...