# Neural networks (Computers)

### Facial action unit detection with convolutional neural networks

**Neural**

**Networks**(CNNs) are a branch of machine learning (supervised classification) based on a set of algorithms that attempt to model high-level abstractions in data by using a deep graph ...

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### Detecting Simulated Attacks in Computer Networks Using Resilient Propagation Artificial Neural Networks

**neural**

**networks**have been deemed a promising solution to detect such ...that

**neural**

**networks**have some advantages such as learning from training and being able to categorize ...applying ...

6

### Acoustic Fingerprint Recognition Using Artificial Neural Networks

**Neural**

**Networks**(ANN) for acoustic fingerprints recognition, applied to the identification of marine ...of

**neural**

**networks**is ...

5

### Time series modeling and synchronization using neural networks

**neural**

**networks**[6], delay reconstruction space [7], wavelets [8], functional

**networks**[9], ...artificial

**Neural**

**Networks**(NNs) have been successfully applied in many practical ...

12

### Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks

**neural**

**networks**for their iden- tification as a red blood cell is ...of

**neural**

**networks**(MLP) as a standard classification technique with (MLP) is compared with new proposals ...

10

### A Brief Introduction to Neural Networks

**neural**

**networks**, it would be use- ful to briefly discuss the biology of neu- ral

**networks**and the cognition of living organisms – the reader may skip the fol- lowing chapter without missing any ...

244

### Polynomial approximation using particle swarm optimization of lineal enhanced neural networks with no hidden layers.

**neural**network architecture that can be compared to a Taylor analysis when dealing with ...Enhanced

**Neural**

**Networks**in which two Multilayer Perceptrons are used; the first one will output the ...

17

### A parallel approach for backpropagation learning of neural networks

**neural**

**networks**using a pattern partitioning scheme with a set-training ...small

**neural**net selected for the testing case a substantial acceleration ranging from 4 to more than ten ...

12

### Data Mining with Enhanced Neural Networks-CMMSE

16

### Artificial neural networks applied to forecasting time series

**neural**

**networks**(ANN) have aroused great interest in fi elds as diverse as biology, psychology, medicine, economics, mathematics, statistics and computer ...

8

### Distant galaxies analysis with deep neural networks

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### Deep Neural Networks to find genetics signatures

**Neural**

**Networks**to find genetics signatures and is focused on the development of a bioinformatic tool oriented to identification of relationships between an attribute set and concret factor of interest ...

63

### Content Based Image Retrieval by Convolutional Neural Networks

**Neural**

**Networks**for Information Tech- nologies; and TIC-657, project name Self-organizing systems and robust estima- tors for video ...

12

### Using Neural Networks to Simulate the Alzheimer's Disease

**neural**

**networks**that implement Grossberg’s presynaptic learning rule, we simulate the possible effects of calcium dysregulation in the neuron’s activation function, to represent the most accepted ...

6

### Potential of neural networks for structural damage localization

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### Using artificial neural networks in estimating wood resistance

12

### Glucose-Insulin regulator for type 1 diabetes using high order neural networks

**neural**

**networks**(ANN) is ...order

**neural**network in order to identify and control a nonlinear dynamical system which represents the pancreas’ beta-cells behavior of a virtual ...nonlinear ...

8

### Road pollution estimation using static cameras and neural networks

7

### Pattern recognition in medical images using neural networks

**neural**

**networks**are extremely useful, since not only are they capable of recognizing patterns with the aid of the expert, but also of generalizing the information contained in the input data, thus ...

5

### TítuloDeep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications

**Neural**

**Networks**(DFNN), Deep Belief

**Networks**(DBN), Deep AutoEncoder

**Networks**, Deep Boltzmann Machines (DBM), Deep Convolutional

**Neural**

**Networks**(DCNN) and Deep ...

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