https://www.aspress.org/index.php/tnic/issue/feed ASP Transactions on Neural Information Computing 2021-06-26T16:29:26+08:00 Marley Vellasco marley.vellasco@aspress.org Open Journal Systems <p>ASP Transactions on Neural Information Computing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition.</p> <p>ASP Transactions on Neural Information Computing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).</p> <p>ASP Transactions on Neural Information Computing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.</p> https://www.aspress.org/index.php/tnic/article/view/55 PCNN for Power Distribution Network 2021-06-25T23:06:24+08:00 Ming Zheng zhengming@163.com <p>Aiming at the nonlinear relationship between the evaluation indexes and the complex grade of power quality, a power quality evaluation method is proposed based on model of pulse coupled neural network (PCNN). The operating schematic is analyzed according to PCNN modeling. The input power quality grade is controlled by threshold value, and the evaluation grade is output by neuron ignition. The evaluation methods between PCNN and fuzzy neural network are compared through the measured data, the results indicate that PCNN method is more scientific and accurate, and provides a new method to solve the problem on power quality evaluation of distribution network containing microgrid.</p> 2021-06-26T00:00:00+08:00 Copyright (c) 2021 ASP Transactions on Neural Information Computing https://www.aspress.org/index.php/tnic/article/view/53 DSP for Condition Monitoring Equipment in Real-time 2021-06-26T01:35:22+08:00 Li Li lilishandong@163.com <p>A multi-parameters monitoring system is designed for mechanical and electric equipment which based on DSP and CPLD. Designing methods for hardware and software are introduced in this paper.In the system,powerful capability for numeric operation of DSP is used to deal with real-time data,CPLD is responsible for the logic control.By combining DSP and CPLD, malfunction can be found and alarming signal can be given in time.</p> 2021-06-26T00:00:00+08:00 Copyright (c) 2021 ASP Transactions on Neural Information Computing https://www.aspress.org/index.php/tnic/article/view/56 Iterative Learning Control of Anti-Lock Braking System 2021-06-25T22:27:09+08:00 Ulanld Zhang zhanghappy56@foxmail.com <p>&nbsp;This paper analyzes the anti-lock braking system by iterative learning control. We usually use PID algorism, logic gate threshold value control and many other ways to simulate ABS, but the result is not ideal, so this paper use iterative learning control to design the ABS control algorithm, Simulation shows the algorism has a better effect and can be extended to multi-wheel system.</p> 2021-06-26T00:00:00+08:00 Copyright (c) 2021 ASP Transactions on Neural Information Computing https://www.aspress.org/index.php/tnic/article/view/54 The new Method for the Power System model 2021-06-26T16:29:26+08:00 Yeming Wang wangyeming@126.com <p>Power system modeling is software management tool for managing electricity demand, power system trading<br>electricity and power system generation expansion planning purposes, through the combination of various models and<br>their comparison, which can be used by the Government for its policy support and by the power enterprises for their business<br>development planning decision support, and ensure that power enterprises can provide sufficient and safe quality<br>power supplies at the lowest economic and environmental costs. Based on the study of existing power system models of<br>advanced western countries as well as the current domestic power system modeling status, this article puts forward some<br>proposals and ideas on building domestic power system models.</p> 2021-06-26T00:00:00+08:00 Copyright (c) 2021 ASP Transactions on Neural Information Computing https://www.aspress.org/index.php/tnic/article/view/52 K Algorithm for Microstrip Peocessor Design 2021-06-26T01:37:19+08:00 Zhongxiang Zhang 1@qq.com Chenghua Fan chenhua1991@163.com Liang Zhang 2@qq.com Meng Kong 3@qq.com <p>A 24x24 microstrip array antenna for Doppler radar is presented. For the low sidelobe, the feeding network of microstrip array antenna is used Taylor series amplitude weighting. The sidelobe of microstrip array antenna is less than -18.5 dB at 24.15GHz. The proposal design is confirmed by both simulation and measured results.</p> 2021-06-26T00:00:00+08:00 Copyright (c) 2021 ASP Transactions on Neural Information Computing