This paper examines the notion of quantum neural computing in the context of several new directions in neural network research. In particular , we consider new neuron and network models that lead to rapid training; chaotic dynamics in neuron assemblies; models of attention and awareness; cytoskeletal microtubule information processing; and quantum models. Recent discoveries in neuroscience that...

Prediction of the production rate of the cutting dimensional stone process is crucial, especially when chain saw machines are used. The cutting dimensional rock process is generally a complex issue with numerous effective factors including variable and unreliable conditions of the rocks and cutting machines. The Group Method of Data Handling (GMDH) type of neural network and Radial Basis Functi...

In this paper, we report the first evaluation of cooperation computing for artificial neural networks in distributed environment. Several performance-relevant factors are considered, including architecture of computing service, workflow and cooperation strategy. Evidence on basic processes and performance of such strategies of cooperation computing are reviewed. We also present a theoretical an...

In recent years, soft computing methods, like fuzzy logic and neural networks have been  presented and developed for the purpose of mobile robot trajectory tracking. In this paper we will present a fuzzy approach to the problem of mobile robot path tracking for the CEDRA rescue robot with a complicated kinematical model. After designing the fuzzy tracking controller, the membership functions an...

This paper considers neural computing models for information processing in terms of collections of subnetwork modules. Two approaches to generating such networks are studied. The first approach includes networks with functionally independent subnetworks, where each subnetwork is designed to have specific functions, communication, and adaptation characteristics. The second approach is based on a...

The rapid development of information technology has fueled an ever-increasing demand for ultrafast and ultralow-energy-consumption computing. Existing computing instruments are pre-dominantly electronic processors, which use electrons as carriers possess von Neumann architecture featured by physical separation storage processing. scaling speed is limited not only data transfer between memory pr...