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Analog& Hybrid NNW Chips

(28th-February-2021) • Analog advantages: Ø Exploit physical properties to do network operations, thereby obtain high speed and...

NeuroComputers

(27th-February-2021) • Neurocomputers are defined here as standalone systems with elaborate hardware and software. • Examples: Ø Siemens...

NNW Features

(26th-February-2021) Neural networks are parallel devices, but usually is implement in traditional Von Neuman architectures. There is...

NNets in VLSI

(25th-February-2021) • Neural networks are parallel devices, but usually is implement in traditional Von Neuman architectures. There is...

(24th-February-2021)

Neural Networks Hardware • Implementing your Neural Network in special hardware can entail a substantial investment of your time and...

Automated Industrial Inspection

(23rd-February-2021) Making better pizza The design of an industrial inspection system is specific to a particular task and product, such...

Oil Exploration

(22th-February-2021) • Getting the right signal • A neural network was trained on a set of traces selected from a representative set of...

Stock Market Prediction

(21th-February-2021) • Improving portfolio returns • A major Japanese securities company decided to user neural computing in order to...

Chemical Manufacture

(20th-February-2021) • In a chemical tank various catalysts are added to the base ingredients at differing rates to speed up the chemical...

Adaptive Inverse Control

(19th-February-2021) • NNs can be used in adaptive control applications. The top block diagram shows the training of the inverse model....

Pre-processing

(16th-February-2021) • Transform data to NN inputs Ø Applying a mathematical or statistical function Ø Encoding textual data from a...

Project life cycle

(15th-February-2021) NNs in real problems

Characteristics of NNs

(14th-February-2021) • Learning from experience: Complex difficult to solve problems, but with plenty of data that describe the problem •...

Self Organizing Maps

(13th-February-2021) Following examplesof map are self organization model.

Learning procedure

(10th-February-2021) • In the begging the weights take random values. • For an input vector we declare the winning neuron. • Weights are...

Normalization

(9th-February-2021) • Normalization • Inputs must be in a hyperdimension sphere The dimension shinks from n to n-1. (-2,1,3) and (-4,2,6)...

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