… In this paper, a neurocomputing approach was introduced and implemented for data
approximation and classification. First, an optimized backpropagation network was defined for …

… This paper discusses a neurocomputing system for operational decision support in water
distribution networks. An analog … We refer to the resulting neurocomputing system as CLA/PC. …

… General-purpose parallel machines and neurocomputers that implement a particular
model directly in hardware are much better platforms for neural network applications. $\rm\check …

… The proposed neurocomputer concept is sizeable independently to the applicational domain
in terms of processing power, memory size and flexibility, and is designed for throughputs …

This paper suggests a rather efficient architecture for an error correction unit of a residue
number system (RNS) that is based on a redundant RNS (RRNS) and applied in parallel data …

Optimization problems often require the use of optimization methods that permit the minimization
or maximization of certain objective functions. Occasionally, the problems that must be …

Aim Emotion recognition based on facial expression is an important field in affective computing.
Current emotion recognition systems may suffer from two shortcomings: translation in …

This research is concerned with the problem of obstacle avoidance for the underactuated
unmanned marine vessel under unknown environmental disturbance. A concise deep …

In traditional intelligent fault diagnosis methods of machines, plenty of actual effort is taken
for the manual design of fault features, which makes these methods less automatic. Among …

A model-free based neural network control with time-delay estimation (TDE-MFNNC) for lower
extremity exoskeleton is presented in this paper. The lower limb exoskeleton which has 5 …