Embedded Processing Design Made Easy
The ADI BF518F FMC Reference Design , designed and available exclusively from Avnet, provides a simple-to-use platform using the BF518F low-power Blackfin processor and the Microsoft .NET Micro Framework. Learn more.

e-clips news alerts by keyword

	Broadcom Demonstrates Android™ and Windows CE® Running on Advanced Navigation Processor | Mentor Graphics Achieves IPv6 Ready Group Phase II Interoperability . . . last week's e-clips alert for neural networks
sponsor: The Future of Image Acquisition and Processing

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

Innovative Integration is a leader in signal processing and data acquisition hardware and software. Our products combine DSPs and FPGAs with high performance analog, ready for integration into demanding real-time applications such as wireless, medical, and military. Innovative Integration offers a complete solutions for software-defined radio (SDR) applications by integrating R-Interface’s IP for software defined radio (SDR) with Innovative’s high performance X5 family of digitizers and powerful application development tools for FPGA development.

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)