Answer:
C. machines can be disguised easily
Explanation:
Observation is one of the important method used in the field of research in psychology. The results out of the observations help in evaluating the outcome and the result. Machines are used in the researches which helps to record the process and bring out certain conclusions out of them. Also, it helps in further researches equivalent to it. The data is recorded and is stored for any further assessment related to it.
The correct answer is option c) The most densely populated in Africa.
Most Africans maintain a rural lifestyle, but urbanization increases as people leave the countryside to look for work in the cities. The highest population densities are found where water is more accessible, such as in the Nile Valley, the north and west coasts, and along the Niger River.
Options A) and B) are relevant to the topic sentence, however, they are only supporting statements.
Option D) is incorrect
Jamestown? I'm pretty sure this is the answer.
Since the 15th. Century, the Ottoman Empire controlled nearly all the important trade routes in the old world. As it had a strong economy, it also had a strong army, wealth, technology, and production. But it came to an end in 1922.
The developments that contributed to the end of the Ottoman Empire were that the Ottoman Empire began to decline by European intervention in their area (the penetration of European merchant capital caused economic problems).
The outcome of Western Europe's modern economic system contributed to European military technology was another reason for the Ottoman decline.
Besides, the Ottoman Empire had internal problems like rebellions (many Young Turks wanted to reform their country to become a modern nation-state). These problems influenced its power as a great empire in the world.
Other development that influenced the Ottoman Empire decline was the naval defeated at Lepanto in 1571 and the failure of the second siege of Vienna in 1683.
Learning takes place in a connectionist network through a process of <u>back propagation</u> in which an error signal is transmitted starting from the property units.
<u>Explanation</u>:
Back propagation is a set of rules used for learning about the artificial neural networks using gradient descent. The gradient of the error function is calculated with respect to the neural network's weights.
This algorithm can be efficiently used to calculate the derivatives. Connectionist networks helps in arranging the neurons into a network. This network defines the arrangement of neurons, transmission function of neuron and a learning rule.
In back propagation, the error signal is transmitted from the property units.
