New Scopes in Artificial Neural Network
Journal Title: International Journal of Linguistics and Computational Applications - Year 2015, Vol 2, Issue 2
Abstract
In this paper I describe the use of neural network in various related fields. Artificial neural networks are parallel computational models, comprised of densely interconnected adaptive processing units. These networks are fine-grained parallel implementations of nonlinear static or dynamic systems. A very important feature of these networks is their adaptive nature where "learning by example" replaces "programming" in solving problems. This feature makes such computational models very appealing in application domains where one has little or incomplete understanding of the problem to be solved, but where training data is available. Another key feature is the intrinsic parallel architecture which allows for fast computation of solutions when these networks are implemented on parallel digital computers or, ultimately, when implemented in customized hardware.
Authors and Affiliations
Manoj Chopra
Keywords
Related Articles
- EP ID EP642862
- DOI -
- Views 158
- Downloads 0
பழந்தமிழர் வாழ்வில் மலர்களின் பங்களிப்பு
பழந்தமிழர் வாழ்வில் மலர்களின் பங்களிப்பு
இலக்கண உருவாக்கத்தில் தொழிற்பெயர்
இலக்கண உருவாக்கத்தில் தொழிற்பெயர்
Simultaneously Reducing Latency and Power Consumption in Open Flow Switches
Ethernet LAN that uses switches to connect individual hosts of segments. This type of network is sometimes called a desktop switched Ethernet. In the case of segments the hub is replaced with a switching hub. TCMAs takes...
Life Threatening Arrhythmias Classification using Nuclear Quadrupole Resonance Spectroscopy Signals
In this paper, Nuclear Quadrupole Resonance Spectroscopy signals of human recorded using called HTEC is analysed and compressed to classify Arrhythmias .The device is able to record medical quality which leads ECG signal...
ஈழத்து இனப்பிரச்சினையும் நாடகமும் – தேடலுக்கான தொடக்கம்
ஈழத்து இனப்பிரச்சினையும் நாடகமும் – தேடலுக்கான தொடக்கம்