Free News Alerts by Keyword
Interested in embedded technology? Are you an engineer or designer? e-clips helps you follow the latest news on key topics like multicore, FPGAs, 8051, ESL, PC/104 and more!

Free Embedded Systems
News by Keyword
Cool, free stuff!

	Laird Technologies Launches Low-Energy Bluetooth Smart™ Modules for Medical and Other Devices | Axiomtek P1177S-871 - 3rd Gen. Intel® Core™ i-based 17” SXGA TFT Industrial … . . . last week's e-clips alert for neural networks
sponsor: free technology news alerts

best websites for neural networks:

projects, universities, associations... (4 records)
hot lists (6 records)
overviews (5 records)
tutorials, resources, organizations (7 records)
books a-b (17 records)

top ten, free stuff, & vendors for neural networks:

e-clips "eReport: " best websites for neural networks
demos, shareware & freeware for neural networks
neural networks vendor guide
neural networks services guide

Express Logic develops, markets and supports the ThreadX® real-time operating system (RTOS), NetX™TCP/IP networking stack, USBX™ USB stack, FileX® embedded file system, and PEGX™ GUI toolkit for embedded applications. ThreadX is a royalty-free, full source code, small-footprint, low-overhead RTOS that is extremely easy to learn and use. ThreadX is one of the most widely deployed RTOS products in the world, with over 1.25 billion products based on ThreadX.

Definition: An artificial neural network (ANN), often just called a 'neural network' (NN), is a mathematical model or computational model based on biological neural networks. It consists of an interconnected group of artificial neurons and processes information using a connectionist approach to computation. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase. In more practical terms neural networks are non-linear statistical data modeling tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data. Source: Wikipedia (http://en.wikipedia.org/wiki/Artificial_neural_network)