Application 

Trends, Networks And Critical Thinking (TNCT)

 in 21st century provides efficiency in learning, it enables us to think critically and wisely under pressured situations. It is important in making decisions. Armed with knowledge and attitude of this subject molds an individual to be a competent and accurate part of society. Interesting topics and situations learned from this subject can be applied in every students life. We can learn skill from this as well that can be used in daily living. It provides general awareness of whats happening in our surrounding. It gives an idea on how a productive citizen cope against global concerns and issues. It teach us how to appreciate technological advances and how to properly utilize them. It's a very interesting subject for every student and studying it further may even provide enjoyable and fruitful results. 

Summary

In Trends Networks and critical thinking we understand what is the true meaning of Trends, How to spot a trends,differentiate the fad and trend. We also understand the different types of networks like local networks, Global networks like migration and climate refugees. In planetary Networks we understand what is climate change, the effects of having a climate change, the global warming and the greenhouse effect we can also be aware on what is the solutions of having a climate change. We also understand deeper what is democracy like political corruption, The purposes of having ICT or Information Communication Technology in our lives and neutral and social networks.

VII. Neutral and Social Networks 

What is Neutral Network?

The simplest definition of a neural network, more properly referred to as an 'artificial' neural network (ANN), is provided by the inventor of one of the first neurocomputers, Dr. Robert Hecht-Nielsen. He defines a neural network as:

"...a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs.

In "Neural Network Primer: Part I" by Maureen Caudill, AI Expert, Feb. 1989
Neural neworks are typically organized in layers. Layers are made up of a number of interconnected 'nodes' which contain an 'activation function'. Patterns are presented to the network via the 'input layer', which communicates to one or more 'hidden layers' where the actual processing is done via a system of weighted 'connections'. 

What Applications Should Neural Networks Be Used For?

Neural networks are universal approximators, and they work best if the system you are using them to model has a high tolerance to error. One would therefore not be advised to use a neural network to balance one's cheque book! However they work very well for:

• capturing associations or discovering regularities within a set of patterns;
• where the volume, number of variables or diversity of the data is very great;
• the relationships between variables are vaguely understood; or,
• the relationships are difficult to describe adequately with conventional approaches.

Social Network 

Social networking is the practice of expanding the number of one's business and/or social contacts by making connections through individuals, often through social media sites such as Facebook, Twitter, LinkedIn