Many students of Electronics and Communication Engineering are exposed to Integrated Circuits (IC’s) on the common stage and including SSI (small scale integration) circuits such as MSI (medium scale integration) or logic gates circuits such as parity encoders or multiplexers.

Neural networks are the modern concept of programming PCs. They are best to the pattern identification and alternate operations are very tough to process with the help of common methods. Programs make use of neural nets and can learn by themselves and accept to modify situations.

The networks might be the upcoming of mathematics. The best method to comprehend is the puzzle which neural networks are utilized to solve. One answer to make the neural network to recognize is C, C++, Java, or Python.

 They include obtained energies and they are able to transfer their personal amount of energy to alternate neurons and this addition includes the particular complex threshold. The human brain is able to learn based on adjusting the power strength of connections. The neurons network produces the great parallel data processing method. It is compared with common computers and the processor is able to process one instructions sequence.

 In pharmacy, Network (NN) has impressed various experts. The easy exploration by Machado (1996) of the PC-based NN formed more than 600 notes. Many uses were examined and determined depending on the design, information of input and output, and the status of results and project. 


VLSI for Neural Networks and Their Applications Seminar Project is concluded that based on simplified account, the man brain includes many ten billion neurons and the neuron is linked to many thousand alternate neurons. Neurons can send and receive different energy quantities. The essential character of neurons is they cannot respond quickly to the power reception.

Download VLSI For Neural Networks And Their Applications Electronics and communication Engineering Final Year Seminar Project.