neural networks – TechConnect Briefs

Application of Multi-frequency Test and Neural Network to Fault Diagnosis in Analog Circuits

Wang C., Wang H., Ye Y., Liang H-L, Wang C., Wang H., Mei J., He J., Chan M., PKU-HKUST Shenzhen-Hongkong Institution, CN

In this paper, the multi-frequency test and neural networks (NNs) are applied to fault diagnosis in analog circuits. The reason is that multi-frequency test can maximize differences between the failure and the normal circuit’s response, [...]

Robust Fingerprint Identification System Using Backpropagation and ART Neural Networks

Ilumoka A.A., Talluri M., Eng M., UNIVERSITY OF HARTFORD, US

This paper describes a robust minutiae-based fingerprint identification method suitable for use in small populations. System employs two serially connected neural networks in which fingerprint feature extraction is carried out by the first network – [...]

Neural Network-Based MEMS Failure Probability Prediction

Ilumoka A.A., Tan H., UNIVERSITY OF HARTFORD, US

MicroElectronic and Mechanical Systems (MEMS) are a blend of microelectronic and mechanical devices closely coupled and simultaneously manufactured to monitor, analyze, and control everyday processes such as automobile function, biological systems operation and aeronautical flight. [...]

Intelligent Data Aggregation in Sensor Networks Using Artificial Neural-Networks Algorithms

Kulakov A., Davcev D., Ss. Cyril and Methodius University, MK

Most of the current in-network data processing algorithms are modified regression techniques like multidimensional data series analysis. In our opinion, some of the algorithms well developed within the artificial neural-networks tradition, for over 40 years, [...]

Behavior of Living Human Neural Networks on Microelectrode Array Support

Pizzi R., Gelain F., Fantasia A., Rossetti D., Vescovi A., University of Milan, IT

Researchers of the Department of Information Technologies of the University of Milano and of the Stem Cells Research Institute of the DIBIT-S. Raffaele Milano are experimenting the growth of human neural networks of stem cells [...]

Bio-inspired Integrated Circuits for Signal Perception and Processing

Abdel-Aty-Zohdy H.S., Ewing R.L., Oakland University, US

Bio-inspired systems utilizing neural networks and genetic algorithms are presented in this paper for pattern discovery, identification, classification, and optimum choices for Signal Perception and Processing (SPP). Sample applications are presented for: (I) Integrated Intelligent [...]

Hardware Implementation of Programmable Neural Networks for CHEMFET Signals Analysis in SEWING Project

Klepaczko A., Napieralski A., Kielbik R., Moreno J.M., Technical University of Lodz, PL

This paper focuses on problems of hardware implementation of neural networks (NN) in the re-programmable structures. New class of these devices, which integrate in one silicon wafer entire microprocessor systems (Systems-on-Chip), facilitates NN construction and [...]

A Neural Network Based Macromodel for Microflow Sensors

Mikulchenko O., Rasmussen A., Mayaram K., Washington State University, US

A neural network based macromodel has been developed for a microflow sensor and implemented in the circuit simulator SPICE3f5. The model has been validated with numerical simulations and allows accurate and efficient simulation of microflow [...]