Neural networks are the most advanced and technically potential solutions that make computing faster and more efficient. It is going to change the processing speed tremendously in the very near future. Although it is in its infant state, it will turn the whole device to device and device-human interaction whether it is voice control or medicinal use. The deep sense hybridization of the neural information system of a human body with technology and artificial intelligence make it a complex techno-human arrangement that will speed up the processing of a computer system into the altitude of computation.
An ANN (artificial neural network) is the inherited data processing mythology from the human nervous system. It works very similarly to the processing of a human brain which fundamentally works on a centralized structure or a novel paradigm which is connected through various intense inter-connected highly processing units and work as a unit while solving a specific task. The nodal structure is a computer program associated with millions of artificial neurons (the smallest unit of the human brain) which are designed for a specific purpose. They communicate with each other, transfer data to each other as well as the nodal unit during a task.
ANN is one step ahead of traditional information processing system as it can learn from different case study and examples. It is the simple inter-communication system of complex, hybrid and complicated behavioral artificial neurons that can perform learn process and give output identically.
The fundamental functioning of a neural network resides in the mechanism that it can be used as well as referred as an example to learn simultaneously. It also gathers the informatics of input and output gathering and generation by their hidden features of input distribution like Boltzmann machine and deep learning algorithm. In this way, it keeps an eye on every single activity and lean the pattern of it and compares it with any past problem simultaneously and can trigger an alarm if found any resembles to that very problem.
What is the use of neural network?
In a neural network, each neuron or nephron holds a unique ability and expertise of handling a proper set of data and case. In this way, it is beneficial in retrieving a pattern or detection of trends from huge, unstructured, complex and complicated data. As neuron have expertise in dealing with a specific kind of data, so they can predict very accurately about a problem and can provide much proper guideline and solution to cater to it.
It will open the gateway of:
- Adaptive learning: By which we can practice different case-based problem-solving exercise.
- Self-organization: ANN can create an organization, back-up support or representation against the data which it collects from the various mean. This organization has all the necessary tools to cater to the problem because many neurons analyses the data and give their opinion on which organization shaped itself.
- Real-time management: Deep sense of analysis and data collection helps us to be quick and respond against any problem in real time.
- Problem tolerance: The huge umbrella of a network with different expert hand makes it more fault proof, as it predicts the future problems too early based on data trends and resolve it perfectly with its expert neurons.
- Exception handling: It can decode minute trends which could be hidden in a massive set of similar data and can make an adequate solution for that by violating the rule which applies on bulk or similar data. In this way, it can fragment itself from nay inbound rule and work more efficiently than a human.
- Custom Engineering: ANN can figure out problems and suggest a proper solution, in this way it is opening the gate of custom engineering which can guide to solve or solve in place of a human to solve a problem by analyzing a problem and resolve according to ANN’s guideline or recommendation.
Apart from its amazing quality and features, large data requirement, expensive setup, and difficulty in framing the concept into reality are some hurdles that make it complicated and futuristic.
Billy Mark is a self-professed security expert; he has been making the people aware of the security threats. His passion is to write about Cybersecurity, cryptography, malware, social engineering, internet and new media. He writes for Mcafee products at mcafee.com/activate
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