Can you tell me what exactly is Neural Networks?

Question

I am a Science student and I want to know what are neural networks. Can u please explain me?

Answer 1

Neural Networks

A neural network consists of many simple processing units that are connected by communication channels. Much of the inspiration for the field of neural networks came from the desire to perform artificial systems capable of sophisticated, perhaps intelligent computations similar to those of the human brain.

Neural networks usually learn from examples and exhibit some capability for generalization beyond the data used for training. They are able to approximate highly nonlinear functional relationships in data sets.



Figure 1: A neuron within a neural network.


The smallest part of a neural network is one single neuron as shown in Figure 1. It takes a set of individual inputs and determines (through the learning algorithm) the optimal connection weights that are appropriate to each input. Next, the neuron aggregates these weighted values to a single value


An activation function is then applied to the aggregated weighted value to produce an individual output


for the specific neuron. A typical activation function is the logistic distribution function


The aim of a neural network is to explain the outputs by the input variables . More exactly, we want to find functions such that explains the output variable .
A neural network with one hidden layer (single hidden layer) consists of neurons of three basic types:

The input neurons collect the external information and send it to the layer of hidden units.
The hidden neurons aggregate the information and send it to the output neuron(s).
The output neurons contain the aggregated information passed through the activation function.

Answer 2

Neural networks are computer-simulated models of brain function. The model is made up of nodes that represent neurons or functions in the brain, which are all interconnected.

The system can then be "trained" by giving it input that alters the content or connections between the nodes. This process is supposed to mimic human learning. Computer programmers can also ask the model questions, to see if it responds in the same way as a human given the same training (e.g. a child learning language).

So neural networks are used to figure out whether our understanding of how the brain works is any good and also in trying to develop artificial intelligence.

That's the gist of it - you can read more in detail at http://en.wikipedia.org/wiki/Neural_networks

Answer 3

A neural network is a computing paradigm that is loosely modeled after cortical structures of the brain. It consists of interconnected processing elements called neurons that work together to produce an output function. The output of a neural network relies on the cooperation of the individual neurons within the network to operate. Processing of information by neural networks is often done in parallel rather than in series (or sequentially). Since it relies on its member neurons collectively to perform its function, a unique property of a neural network is that it can still perform its overall function even if some of the neurons are not functioning. That is, they are very robust to error or failure

Answer 4

Neural nets are an AI thing. Type "neural network" as a Google search to find out more.

Rawlyn.

Answer 5

An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurones. This is true of ANNs as well.

Answer 6

An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems. it is biologically inspired.you can understand clearly from this eg: .suppose you have a photo.but it is faded or half of the portion is losted.then you can regenerate your photo by using ANN.it is is checking each pixels and with the aid of this it regenerate.

Answer 7

Neural network (N N) is used to refer to a branch of computational science that uses neural networks as models to either simulate or analyze complex phenomena or study the principles of operation of N N analytically.
It addresses problems similar to artificial intelligence (AI)
N N use 'networks of agents' (software or hardware entities linked together) as the computational architecture to solve problems.
N N is a trainable system that can "learn" to solve complex problems.
It is a self-adaptive system.

Answer 8

You can learn about neural network here: http://en.wikipedia.org/wiki/Neural_Network