Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

Search 250 million research papers

Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.

About 10,000 papers for “neurocomputing”

Neurocomputing

Journal of Science and Technology · 2020

A novel wise neuro-computing algorithm is introduced and careful thus on vogue and implement a nano-communication network for various applications like medical and industrial signal method. Firstly, the thought of artificial neural network (ANN) for process is explained . Associate in Nursingd utility of modeling a nano-scale network by associate degree optimized neuro computing algorithm is mentioned exploitation binary neuro-modeling. Convergence of technology with biotechnology, information technology, and psychological feature technology (NBIC) as a main trend in science and technology. They to boot provided a listing of twenty visionary ideas for consequent 10–30 years. Consistent with their ideas, at intervals future twenty years, we've an inclination to expect to possess anthropomorphous intelligent robots, smartphones with period language translating operate, and pocket-sized supercomputers through the advance inside the NBIC. To pave the tactic for this, each system ought to be versatile, mobile, self-programmable, real time, and even self-learning. However, as a result of the miniaturization trend continues following Moore’s law, it would be impractical to use these nano electronics to future computing systems because of monumental energy consumption and technological limits. Consequently, the design so the functions of transistors used during this system need to be improved and affected by the human brain. Sadly, it’s unclear but neural activities inside the human brain finish in method like learning and reasoning. All a similar, the convergence of biology with engineering science is expected to bring America nearer to place along neuro inspired chips for neurocomputers utilizing some clues on neural activity and structure, throughout this chapter, we'll show various scientific problems and challenges in realizing neuro-inspired chips

Cited by 2Open access

Neurocomputing.

Sanchez A., V. D. · elib (German Aerospace Center) · 1990

Kuenstliche neuronale Systeme koennen sich aus einem oder mehreren kuenstlichen neuronalen Netzen zusammensetzen und lassen sich fuer vielfaeltige Problemloesungen einsetzen. Ein KNN ist ein massivparalleles Netzwerk kommunizierender Prozessoren, wobei die Kommunikation durch spezielle Verbindungen zwischen einzelnen Prozessoren erfolgt. Ein KNN ist in der Lage, aus Trainingsdaten zu lernen, wobei das Wissen durch Einstellen der Gewichte waehrend des Trainings in das Netz eingepraegt wird.

Cited by 0

Neurocomputing

Hecht-Nielsen, Robert · CERN Document Server (European Organization for Nuclear Research) · 1990

Cited by 0

Neurocomputing

Françoise Fogelman Soulié, Jeanny Hérault · 1990

Cited by 19

Programmable Neurocomputing

Krste Asanovic Mit, Krste Asanović · 2007

This article first reviews the most significant neurocomputer architectures, discusses their design and use, before concluding with predictions of future trends

Cited by 0

Attentional Neurocomputing

Speidel, Steve L. · Defense Technical Information Center (DTIC) · 1992

Our ultimate goal is develop neural-like cognitive sensory processing within non-neuronal systems. Toward this end, computational models are being developed for selectively attending the task-relevant parts of composite sensory excitations in an example sound processing application. Significant stimuli partials are selectively attended through the use of generalized neural adaptive beamformers. Computation components are being tested by experiment in the laboratory and also by use of recordings from sensor deployments in the ocean. Results will be presented. These computational components are being integrated into a comprehensive processing architecture that simultaneously attends memory according to stimuli, attends stimuli according to memory, and attends stimuli and memory according to an ongoing thought process. The proposed neural architecture is potentially very fast when implemented in special hardware.

Cited by 0

Logic‐Oriented Neurocomputing

Witold Pedrycz · 2005

Presented is a general architecture, processing and learning in logic-oriented neural networks. These networks are composed of transparent neurons such as aggregative (AND and OR) and referential (dominance, inclusion, similarity) neurons leading to a logic description of experimental data. The chapter addresses an essential issue of forming communication interfaces between logic neurocomputing and real-world data.

Cited by 0

Neurocomputing, Volume 1

The MIT Press eBooks · 1988

Researchers will find Neurocomputing an essential guide to the concepts employed in this field that have been taken from disciplines as varied as neuroscience, psychology, cognitive science, engineering, and physics. A number of these important historical papers contain ideas that have not yet been fully exploited, while the more recent articles define the current direction of neurocomputing and point to future research. Each article has an introduction that places it in historical and intellectual perspective. Included among the 43 articles are the pioneering contributions of McCulloch and Pitts, Hebb, and Lashley; innovative work by Von Neumann, Minsky and Papert, Cooper, Grossberg, and Kohonen; exciting new developments in parallel distributed processing. Bradford Books imprint

Cited by 410

Neurocomputing, A Reader

T. Jennings Anderson, Phil Rose, Gillian Glaes et al. · 1988

This honors thesis focuses on Cryptography, Data Compression, and the link between the two in modern applications. Beginning with the notion that a link could exist due to the similar structure of the general methods, chapters individually explore the processes. An analysis of classical cryptography starts in the classical age and describes methods used until World War II. Shifting to modern computer implementations, the call for National standards introduced a new generation of consumer computer based cryptographic methods that needed to be strong enough for world-wide use. Switching focus to data compression, compression methods from the 1950s through current day are explored and demonstrated. Ultimately, the original question is answered by accepting that a link does exist, but not in the form of a combination it was originally thought to be. Rather, when used in series: compression then encryption, the compression adds to the overall security of the data and yields a smaller encrypted file.

Cited by 0

An Introduction to Neurocomputing

Juan Antonio Barceló · IGI Global eBooks · 2011

Let’s build an automated archaeologist! It is not an easy task. We need a highly complex, nonlinear, and parallel information-processing “cognitive core” able to explain what the robot sees, in terms of causal factors, which not always have an observable nature. Of course, such a “cognitive core” should not run like a human brain. After all, automated archaeologists do the same tasks as “human archaeologists,” but not necessary in the same way. Nevertheless, there is some similitude in the basic mechanism. My suggestion is that an archaeologist, human or “artificial,” will perceive archaeological data and, using some basic principles of learning, as those presented in previous chapter, will develop ways of encoding these data to make sense of perceived world. Consequently, we may try to build our artificial archaeologist based on the idea of learning and the ability to adapt flexibly epistemic actions to different archaeological problems waiting for a solution. Request access from your librarian to read this chapter's full text.

Cited by 1